CORDIS - Forschungsergebnisse der EU
CORDIS

SoBigData Research Infrastructure

Leistungen

Living Archive Platform

The extended Living archive platform will be delivered and described with all its functionalities.

Social mining method and service integration 2

Consolidated design and realization of first batch of integrated methods and services

Analytical Crawling Platform

The final analytical crawling platform will be delivered and described with all its functionalities

Crowd sensing platform

The methods and technologies to collect data from the participatory and\or opportunistic crowd sensing.

Social mining method and service integration 1

Design, integration specifications, and early prototypes.

VRE specification and software 1

It describes and delivers the VREs’ software, to be deployed as due by MS2, MS4 and MS6. In particular the first will concern the resource catalogue.

Resource adaptation to register to the e-infrastructure 1

It delivers and describes the software release of all the adaptations of existing and newly developed resources. It describes also all the activities carried out by the partners in order to register those resources to the e-infrastructure.

Evaluation Framework Toolkit and Datasets 2

D11.2 will contain the SoBigData evaluation data collection toolkit, which will enable the campaign participants to create automatically the evaluation datasets, as described in T11.2. In addition, D11.2 will comprise the materials and datasets created for the SoBigData evaluation campaigns, carried out as part of T11.2, and will report on the definition of the exploratories of T11.4. All five thematic areas covered by the SoBigData project will have their corresponding datasets: text and social media mining (USFD, UNIPI), social network analysis (CNR, AALTO), human mobility analytics (CNR), web analytics (LUH), visual analytics (FRH). FRH will have overall responsibility for coordinating the deliverable production.

Resource adaptation to register to the e-infrastructure 3

It delivers and describes the software release of all the adaptations of existing and newly developed resources. It describes also all the activities carried out by the partners in order to register those resources to the e-infrastructure.

Resource adaptation to register to the e-infrastructure 2

It delivers and describes the software release of all the adaptations of existing and newly developed resources. It describes also all the activities carried out by the partners in order to register those resources to the e-infrastructure.

Social mining method and service integration 3

Consolidated design and integration of enhanced methods and services.

Evaluation Framework Toolkit and Datasets 1

D112 will contain the SoBigData evaluation data collection toolkit which will enable the campaign participants to create automatically the evaluation datasets as described in T112 In addition D112 will comprise the materials and datasets created for the SoBigData evaluation campaigns carried out as part of T112 and will report on the definition of the exploratories of T114 All five thematic areas covered by the SoBigData project will have their corresponding datasets text and social media mining USFD UNIPI social network analysis CNR AALTO human mobility analytics CNR web analytics LUH visual analytics FRH FRH will have overall responsibility for coordinating the deliverable production

Sustainability Plan

This report will provide a detailed sustainability plan for the new pan-European SoBigData infrastructure.

SoBigData e-Infrastructure release plan 2

Describes the set of actions to deliver subsequent releases of the eInfrastructure as due by the milestones MS2 MS3 and MS5 Plans will be drafted in synergy with all WP8 and WP9 partners and will drive the incremental integration of existing services in the einfrastructure resulting in the software releases indicated in D103 Initial plans will include deployment of enabling services and the portal of the einfrastructure

IP principles and business models 1

Report describing responsible IP principles and practices in SoBigData and listing of best practices that have evolved in and outside SoBigData so as to accommodate both legitimate IP claims in Data and privacy related rights.

All Relevant Boards established

Definition of the composition and the installation of the boards for the management of the project.

Periodic reports on TA activities 1

It will report on calls initiated in the reporting period, user selection process and outcomes, TA visit reports, and self-evaluation. The M18 and M36 periodic reports will also contain plans for TA calls for the subsequent period.

Periodic dissemination and impact report and plan for following year 2

The annually updated report includes the description of dissemination and impact activities undertaken and scientific papers published, as well as the planning for the following year.

SoBigData e-Infrastructure release plan 3

Describes the set of actions to deliver subsequent releases of the e-Infrastructure as due by the milestones MS2, MS3 and MS5. Plans will be drafted in synergy with all WP8 and WP9 partners, and will drive the incremental integration of existing services in the e-infrastructure, resulting in the software releases indicated in D10.3. Initial plans will include deployment of enabling services and the portal of the e-infrastructure.

IP principles and business models 3

Report describing responsible IP principles and practices in SoBigData and listing of best practices that have evolved in and outside SoBigData so as to accommodate both legitimate IP claims in Data and privacy related rights.

Training Programme 1

This deliverable contains the plan of the educational activities for every year.

Legal and Ethical Framework for SoBigData 3

Report describing the evolving versions of the legal and ethical framework of the SoBigData ecosystem together with recommendations and provisions for research procedures

Periodic Training Planning Reports 1

This deliverable reports on the training activities carried out in this workpackage, at key milestones. This will include reports on summer schools, datathons, and training events for schools and underrepresented communities in data science. Attendance details and other statistics will be collected and reported.

Value-Sensitive Design & Privacy-by-Design technologies for big data analytics 1

Report describing the evolving versions of the VSD and PbD methods, recommendations and provisions to be adopted in the SoBigData ecosystem, which will drive the integration and enhancement of social mining services and tools of JRA2 into the research infrastructure.

Evaluation Framework Design and Positioning

This deliverable will report on the results of T111 and position the SoBigData evaluation framework in the context of other relevant established initiatives in the fields of text mining natural language processing social network analysis human mobility analytics web mining and visual analytics D111 will also contain the design specification of the SoBigData evaluation framework based on the results from the first 6 months of work in T112 KCL will lead this deliverable with contributions provided by all partners from T111 2

SoBigData Evaluation Framework: Engagement and Sustainability Report

This deliverable will report on the activities of T11.3, and more specifically on stakeholder engagement, commercial sponsorship, and sustainability activities. ETHZ as T11.3 leader will be responsible for coordinating input and deliverable completion.

Training Activities: planning, material and reports 2

This deliverable reports on the training activities carried out in this workpackage. It will include reports on summer schools, datathons, and training events for schools and underrepresented communities in data science. Attendance details and other statistics will be collected and reported. Furthermore, this deliverable reports and publishes the online training materials, as well as those created for the face to face training events. We will also include access statistics for the online training materials.

Legal and Ethical Framework for SoBigData 1

Report describing the evolving versions of the legal and ethical framework of the SoBigData ecosystem, together with recommendations and provisions for research procedures.

Initial dissemination and impact plan

The plan concerns the first year of activity and matches the project dissemination goals with the available opportunities. It also outlines the activity for the second year according to the information available at the time of delivery. Finally it includes the initial publication plan.

VA e-Infrastructure Service Provision and Operation Report 2

Report on the e-Infrastructure operation activity since its last deployment, including a detailed set of usage indicators (e.g. number of resources, accesses to resources, usage of resources from scientists of different infrastructures, etc.). Indicators will be generated automatically by the VA e-infrastructure and their current status can be consulted at any moment from the VA e-infrastructure portal. This deliverable will include the assessment report provided by Project Advisory Board.

Ethics Board Establishment

Report describing the composition of the ethics board and its plan of activities, governance framework, by laws, responsibilities of members and principles, schedule of meetings, reporting and event calendar.

SoBigData e-Infrastructure release plan 1

Describes the set of actions to deliver subsequent releases of the e-Infrastructure as due by the milestones MS2, MS3 and MS5. Plans will be drafted in synergy with all WP8 and WP9 partners, and will drive the incremental integration of existing services in the e-infrastructure, resulting in the software releases indicated in D10.3. Initial plans will include deployment of enabling services and the portal of the e-infrastructure.

Value-Sensitive Design & Privacy-by-Design technologies for big data analytics 2

Report describing the evolving versions of the VSD and PbD methods recommendations and provisions to be adopted in the SoBigData ecosystem which will drive the integration and enhancement of social mining services and tools of JRA2 into the research infrastructure

VA e-Infrastructure Service Provision and Operation Report 3

Report on the e-Infrastructure operation activity since its last deployment, including a detailed set of usage indicators (e.g. number of resources, accesses to resources, usage of resources from scientists of different infrastructures, etc.). Indicators will be generated automatically by the VA e-infrastructure and their current status can be consulted at any moment from the VA e-infrastructure portal. This deliverable will include the assessment report provided by Project Advisory Board.

Training Programme 2

This deliverable contains the plan of the educational activities for the second reporting period

Legal and Ethical Framework for SoBigData 2

Report describing the evolving versions of the legal and ethical framework of the SoBigData ecosystem together with recommendations and provisions for research procedures

Periodic dissemination and impact report and plan for following year 1

The annually updated report includes the description of dissemination and impact activities undertaken and scientific papers published, as well as the planning for the following year.

Fact sheets aimed at different stakeholders

These fact sheets will be published on the project web-site for download by users and others, and they may also serve as hand-outs at events such as workshops and conferences.

Periodic reports on TA activities 3

It will report on calls initiated in the reporting period, user selection process and outcomes, TA visit reports, and self-evaluation. The M18 and M36 periodic reports will also contain plans for TA calls for the subsequent period.

Data Scientist Training Materials 1

This deliverable periodically reports and publishes the online training materials as well as those created for the face to face training events We will also include access statistics for the online training materials

Periodic reports on TA activities 2

It will report on calls initiated in the reporting period, user selection process and outcomes, TA visit reports, and self-evaluation. The M18 and M36 periodic reports will also contain plans for TA calls for the subsequent period.

Preliminary Innovation and Action Plan

This deliverable draws the plan of work for T5.1 and T5.2, including a concrete action plan for the innovation activities aimed at widening the impact of the SoBigData integrated research infrastructure within a 5 years horizon, i.e. including the second part of the project and a further period beyond the funded one.

IP principles and business models 2

Report describing responsible IP principles and practices in SoBigData and listing of best practices that have evolved in and outside SoBigData so as to accommodate both legitimate IP claims in Data and privacy related rights

VA e-Infrastructure Service Provision and Operation Report 1

Report on the e-Infrastructure operation activity since its last deployment, including a detailed set of usage indicators (e.g. number of resources, accesses to resources, usage of resources from scientists of different infrastructures, etc.). Indicators will be generated automatically by the VA e-infrastructure and their current status can be consulted at any moment from the VA e-infrastructure portal. This deliverable will include the assessment report provided by Project Advisory Board.

Entrepreneurial skills materials and activities undertaken

It comprises the materials (slides, videos, etc.) and a report on activities undertaken as part of T5.3.

Training Activities: planning, material and reports 1

This deliverable reports on the training activities carried out in this workpackage, at key milestones. This will include the planning, the material and the reports on summer schools, datathons, and training events for schools and underrepresented communities in data science. Attendance details and other statistics will be collected and reported. Finally, the deliverable 4.2 contains the plan of the educational activities for the last year of the project.

Final dissemination and community building events

The report includes the description of dissemination activities and of the events organized during months 37-52. This document will include also the overview of the final dissemination event and assesses all the dissemination activities carried out during the project, providing overall statistics and comparisons. It also includes the complete list of publications.

Final Innovation Report and Action Plan

The report updates the Innovation and Action Plan, keeping into account the progress of the SoBigData infrastructure and any change intervened in the general conditions during the second part of the project. It describes actions required in a 5-10 years horizon.

Innovation Accelerator 1

This software prototype deliverable consists of the customisation of the Innovation Accelerator web platform including Living Science as well as delivering impact and innovation metrics for publications and collaborations arising from SoBigData and other big social data analytics projects and key players

SoBigData e-infrastructure and VRE release

It describes and delivers the platform and the VREs planned in D10.2 and to be deployed as due by MS2, 3, 4 and 6.

SoBigData e-Infrastructure software release 1

It describes and delivers the software release planned in D10.2 and to be deployed as due by MS2, 3 and 5.

Project web site, project presentation, and social media presence

This deliverable will contain the project presentation, the project website, and the project’s social media presence. These comprise the main dissemination channels for promoting and communicating the project and relevant activities and achievements. The project web site, presentation, and social media presence will be updated continuously throughout the project.

SoBigData e-Infrastructure software release 2

It describes and delivers the software release planned in D102 and to be deployed as due by MS2 3 and 5

Innovation Accelerator 2

This software prototype deliverable consists of the customisation of the Innovation Accelerator web platform, including Living Science, as well as delivering impact and innovation metrics for publications and collaborations arising from SoBigData and other big social data analytics projects and key players.

Best practices and guidelines towards interoperability

The deliverable has an “on-going” nature and organizes and presents the results of T10.1. It will serve as a deliverable and as release-driven guidelines for all SoBigData e-infrastructure stakeholders.

Data Management report

The purpose of this deliverable is to provide an ongoing and up to date wiki containing the description of the available datasets in the consortium. The description includes statistics, metadata, sharing policies and archiving technologies as well as the preservation provisions and lifespan.

Data processing workflow specification language

The deliverable defines the workflow specification language, together with use-cases, and documentation for users.

Veröffentlichungen

Factors in Recommending Contrarian Content on Social Media

Autoren: Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
Veröffentlicht in: Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Seite(n) 263-266, ISBN 9781-450348966
Herausgeber: ACM Press
DOI: 10.1145/3091478.3091515

Where Could We Go? - Recommendations for Groups in Location-Based Social Networks

Autoren: Frederick Ayala-Gómez, Bálint Daróczy, Michael Mathioudakis, András Benczúr, Aristides Gionis
Veröffentlicht in: Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Seite(n) 93-102, ISBN 9781-450348966
Herausgeber: ACM Press
DOI: 10.1145/3091478.3091485

Finding topical experts in Twitter via query-dependent personalized PageRank

Autoren: Preethi Lahoti, Gianmarco De Francisci Morales, Aristides Gionis
Veröffentlicht in: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17, 2017, Seite(n) 155-162, ISBN 9781-450349932
Herausgeber: ACM Press
DOI: 10.1145/3110025.3110044

The Effect of Collective Attention on Controversial Debates on Social Media

Autoren: Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
Veröffentlicht in: Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Seite(n) 43-52, ISBN 9781-450348966
Herausgeber: ACM Press
DOI: 10.1145/3091478.3091486

Active Network Alignment - A Matching-Based Approach

Autoren: Eric Malmi, Aristides Gionis, Evimaria Terzi
Veröffentlicht in: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17, 2017, Seite(n) 1687-1696, ISBN 9781-450349185
Herausgeber: ACM Press
DOI: 10.1145/3132847.3132983

The network-untangling problem

Autoren: Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis
Veröffentlicht in: 2017, Seite(n) 701-716
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-71249-9_42

Inferring the Strength of Social Ties - A Community-Driven Approach

Autoren: Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis
Veröffentlicht in: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '17, 2017, Seite(n) 1017-1025, ISBN 9781-450348874
Herausgeber: ACM Press
DOI: 10.1145/3097983.3098199

Human Perception of Performance

Autoren: Luca Pappalardo, Paolo Cintia, Dino Pedreschi, Fosca Giannotti, Albert-Laszlo Barabasi
Veröffentlicht in: 2017
Herausgeber: Cornell University Library

Balancing information exposure in social networks

Autoren: Kiran Garimella, Aristides Gionis, Nikos Parotsidis, Nikolaj Tatti
Veröffentlicht in: 31st Annual Conference on Neural Information Processing Systems (NIPS), 2018
Herausgeber: Cornell University Library

Who is going to get hurt? Predicting injuries in professional soccer

Autoren: A. Rossi, L. Pappalardo, P. Cintia, J. Fernandez, M. F. Iaia, D. Medina
Veröffentlicht in: MLSA@PKDD/ECML, 2017
Herausgeber: MLSA@PKDD/ECML

On the Equivalence Between Community Discovery and Clustering

Autoren: R. Guidotti, M. Coscia
Veröffentlicht in: International Conference on Smart Objects and Technologies for Social Good GOODTECHS 2017: Smart Objects and Technologies for Social Good, 2018
Herausgeber: Springer

News Media Coverage of Refugees in 2016: A GDELT Case Study

Autoren: Emina Boudemagh, Izabela Moise
Veröffentlicht in: Eleventh International AAAI Conference on Web and Social Media, 2017
Herausgeber: AAAI Press

The Fractal Dimension of Music

Autoren: Laura Pollacci, Riccardo Guidotti, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi
Veröffentlicht in: 2017, Seite(n) 183-194
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-76111-4_19

Clustering Individual Transactional Data for Masses of Users

Autoren: Riccardo Guidotti, Anna Monreale, Mirco Nanni, Fosca Giannotti, Dino Pedreschi
Veröffentlicht in: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '17, 2017, Seite(n) 195-204, ISBN 9781-450348874
Herausgeber: ACM Press
DOI: 10.1145/3097983.3098034

Market Basket Prediction Using User-Centric Temporal Annotated Recurring Sequences

Autoren: Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi
Veröffentlicht in: 2017 IEEE International Conference on Data Mining (ICDM), 2017, Seite(n) 895-900, ISBN 978-1-5386-3835-4
Herausgeber: IEEE
DOI: 10.1109/ICDM.2017.111

There's a Path for Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas

Autoren: Riccardo Guidotti, Roberto Trasarti, Mirco Nanni, Fosca Giannotti, Dino Pedreschi
Veröffentlicht in: 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2017, Seite(n) 303-312, ISBN 978-1-5090-5004-8
Herausgeber: IEEE
DOI: 10.1109/DSAA.2017.12

Early Signals of Trending Rumor Event in Streaming Social Media

Autoren: Shihan Wang, Izabela Moise, Dirk Helbing, Takao Terano
Veröffentlicht in: 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), 2017, Seite(n) 654-659, ISBN 978-1-5386-0367-3
Herausgeber: IEEE
DOI: 10.1109/COMPSAC.2017.115

Sensing and Mining Urban Qualities in Smart Cities

Autoren: Danielle Griego, Varin Buff, Eric Hayoz, Izabela Moise, Evangelos Pournaras
Veröffentlicht in: 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA), 2017, Seite(n) 1004-1011, ISBN 978-1-5090-6029-0
Herausgeber: IEEE
DOI: 10.1109/AINA.2017.14

Recommender Systems for Banking and Financial Services

Autoren: Andrea Gigli, Fabrizio Lillo, Daniele Regoli
Veröffentlicht in: RecSys ACM, 2017
Herausgeber: ACM

Data-Driven Job Dispatching in HPC Systems

Autoren: Cristian Galleguillos, Alina Sîrbu, Zeynep Kiziltan, Ozalp Babaoglu, Andrea Borghesi, Thomas Bridi
Veröffentlicht in: MOD 2017 - The Third International Conference on Machine Learning, Optimization and Big Data, 2017, Seite(n) 449-461
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-72926-8_37

Open the Black Box Data-Driven Explanation of Black Box Decision Systems

Autoren: Pedreschi, Dino; Giannotti, Fosca; Guidotti, Riccardo; Monreale, Anna; Pappalardo, Luca; Ruggieri, Salvatore; Turini, Franco
Veröffentlicht in: 5th International Conference on Big Data Analysis and Data Mining, Ausgabe 1, 2018
Herausgeber: 5th International Conference on Big Data Analysis and Data Mining

Twitter and the Press - an Ego-Centred Analysis

Autoren: Chiara Boldrini, Mustafa Toprak, Marco Conti, Andrea Passarella
Veröffentlicht in: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018, Seite(n) 1471-1478, ISBN 9781-450356404
Herausgeber: ACM Press
DOI: 10.1145/3184558.3191596

Social Physics: Uncovering Human Behaviour from Communication

Autoren: Bhattacharya, Kunal; Kaski, Kimmo
Veröffentlicht in: Cornell University Library, Ausgabe 2, 2018
Herausgeber: Cornell University Library

Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating

Autoren: Eric Malmi, Aristides Gionis, Arno Solin
Veröffentlicht in: Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018, Seite(n) 883-892, ISBN 9781-450356398
Herausgeber: ACM Press
DOI: 10.1145/3178876.3186136

Performance Analysis of a Device-to-Device Offloading Scheme in a Vehicular Network Environment

Autoren: Pescosolido, Loreto; Conti, Marco; Passarella, Andrea
Veröffentlicht in: Ausgabe 2, 2018
Herausgeber: arxiv

Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter

Autoren: Preethi Lahoti, Kiran Garimella, Aristides Gionis
Veröffentlicht in: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18, 2018, Seite(n) 351-359, ISBN 9781-450355810
Herausgeber: ACM Press
DOI: 10.1145/3159652.3159669

Political Discourse on Social Media - Echo Chambers, Gatekeepers, and the Price of Bipartisanship

Autoren: Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
Veröffentlicht in: Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018, Seite(n) 913-922, ISBN 9781-450356398
Herausgeber: ACM Press
DOI: 10.1145/3178876.3186139

Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings

Autoren: Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin
Veröffentlicht in: 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018, Seite(n) 1289-1293, ISBN 978-1-5386-9288-2
Herausgeber: IEEE
DOI: 10.1109/icdmw.2018.00183

Ad-blocking - A Study on Performance, Privacy and Counter-measures

Autoren: Kiran Garimella, Orestis Kostakis, Michael Mathioudakis
Veröffentlicht in: Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Seite(n) 259-262, ISBN 9781-450348966
Herausgeber: ACM Press
DOI: 10.1145/3091478.3091514

Extracting Event-Centric Document Collections from Large-Scale Web Archives

Autoren: Gossen, Gerhard; Demidova, Elena; Risse, Thomas
Veröffentlicht in: International Conference on Theory and Practice of Digital Libraries TPDL 2017, Ausgabe 3, 2017
Herausgeber: Springer
DOI: 10.1007/978-3-319-67008-9_10

A Motif-based Approach for Identifying Controversy

Autoren: Coletto, Mauro; Garimella, Kiran; Gionis, Aristides; Lucchese, Claudio
Veröffentlicht in: THE 11TH INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA (ICWSM-17), Ausgabe 3, 2017, ISBN 9781-577357889
Herausgeber: ICWSM

Mary, Mary, Quite Contrary - Exposing Twitter Users to Contrarian News

Autoren: Kiran Garimella, Gianmarco De Francisc iMorales, Aristides Gionis, Michael Mathioudakis
Veröffentlicht in: Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion, 2017, Seite(n) 201-205, ISBN 9781-450349147
Herausgeber: ACM Press
DOI: 10.1145/3041021.3054737

Finding low-tension communities

Autoren: Esther Galbrun, Behzad Golshan, Aristides Gionis, Evimaria Terzi
Veröffentlicht in: Proceedings of the 2017 SIAM International Conference on Data Mining, 2017, Seite(n) 336-344
Herausgeber: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611974973.38

Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter

Autoren: Laura Pollacci, Alina Sîrbu, Fosca Giannotti, Dino Pedreschi, Claudio Lucchese, Cristina Ioana Muntean
Veröffentlicht in: Conference of the Italian Association for Artificial Intelligence AI*IA 2017, 2017, Seite(n) 114-127
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-70169-1_9

On the Behaviour of Deviant Communities in Online Social Networks

Autoren: Coletto, Mauro; Aiello, Luca Maria; Lucchese, Claudio; Silvestri, Fabrizio
Veröffentlicht in: ICWSM, Ausgabe 3, 2016
Herausgeber: ICWSM

Sentiment-enhanced multidimensional analysis of online social networks: Perception of the mediterranean refugees crisis

Autoren: Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso
Veröffentlicht in: 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016, Seite(n) 1270-1277, ISBN 978-1-5090-2846-7
Herausgeber: IEEE
DOI: 10.1109/ASONAM.2016.7752401

Discovering Topically- and Temporally-Coherent Events in Interaction Networks

Autoren: Han Xiao, Polina Rozenshtein, Aristides Gionis
Veröffentlicht in: Joint European Conference on Machine Learning and Knowledge Discovery in Databases ECML PKDD 2016, 2016, Seite(n) 690-705
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-46227-1_43

Information Diffusion in Complex Networks: The Active/Passive Conundrum

Autoren: Letizia Milli, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti
Veröffentlicht in: International Conference on Complex Networks and their Applications COMPLEX NETWORKS 2017, 2017, Seite(n) 305-313
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-72150-7_25

NDlib: Studying Network Diffusion Dynamics

Autoren: Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sirbu, Dino Pedreschi, Fosca Giannotti
Veröffentlicht in: 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2017, Seite(n) 155-164, ISBN 978-1-5090-5004-8
Herausgeber: IEEE
DOI: 10.1109/DSAA.2017.6

Reconstructing a cascade from temporal

Autoren: Han Xiao, Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis
Veröffentlicht in: SIAM International Conference on Data Mining, 2018, Seite(n) 666-674
Herausgeber: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611975321.75

RankEval - An Evaluation and Analysis Framework for Learning-to-Rank Solutions

Autoren: Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
Veröffentlicht in: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17, 2017, Seite(n) 1281-1284, ISBN 9781-450350228
Herausgeber: ACM Press
DOI: 10.1145/3077136.3084140

Fast Estimation of Privacy Risk in Human Mobility

Autoren: Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale
Veröffentlicht in: International Conference on Computer Safety, Reliability, and Security SAFECOMP 2017: Computer Safety, Reliability, and Security, 2017, Seite(n) 415-426
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-66284-8_35

Social Media Image Recognition for Food Trend Analysis

Autoren: Giuseppe Amato, Paolo Bolettieri, Vinicius Monteiro de Lira, Cristina Ioana Muntean, Raffaele Perego, Chiara Renso
Veröffentlicht in: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17, 2017, Seite(n) 1333-1336, ISBN 9781-450350228
Herausgeber: ACM Press
DOI: 10.1145/3077136.3084142

Political discourse on social media: Echo chambers, gatekeepers, and the price of bipartisanship

Autoren: Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
Veröffentlicht in: The Web Conference (WWW), 2018
Herausgeber: Arxiv.org

Tell me something my friends do not know: Diversity maximization in social networks

Autoren: Antonis Matakos, Aristides Gionis
Veröffentlicht in: ICDM, 2018
Herausgeber: icdm2018.org

Robust cascade reconstruction by Steiner-tree sampling

Autoren: Hax Xiao, Cigdem Aslay, Aristides Gionis
Veröffentlicht in: 2018
Herausgeber: ICDM.org

Maximizing the Diversity of Exposure in a Social Network

Autoren: Cigdem Aslay, Antonis Matakos, Esther Galbrun, Aristides Gionis
Veröffentlicht in: 2018 IEEE International Conference on Data Mining (ICDM), 2018, Seite(n) 863-868, ISBN 978-1-5386-9159-5
Herausgeber: IEEE
DOI: 10.1109/icdm.2018.00102

Explainable time series tweaking via irreversible and reversible temporal transformations

Autoren: Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, and Aristides Gionis
Veröffentlicht in: ICDM 2018, 2018
Herausgeber: ICDM:ORG

Finding Events in Temporal Networks: Segmentation Meets Densest-Subgraph Discovery

Autoren: Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, Nikolaj Tatti
Veröffentlicht in: 2018 IEEE International Conference on Data Mining (ICDM), 2018, Seite(n) 397-406, ISBN 978-1-5386-9159-5
Herausgeber: IEEE
DOI: 10.1109/icdm.2018.00055

Real-World Witness Detection in Social Media via Hybrid Crowdsensing

Autoren: Stefano Cresci, Andrea Cimino, Marco Avvenuti, Maurizio Tesconi, Felice Dell'Orletta
Veröffentlicht in: THE 12TH INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA (ICWSM-18), 2018
Herausgeber: ICSWM 2018

Selective Gradient Boosting for Effective Learning to Rank

Autoren: Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani
Veröffentlicht in: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18, 2018, Seite(n) 155-164, ISBN 9781-450356572
Herausgeber: ACM Press
DOI: 10.1145/3209978.3210048

$FAKE: Evidence of spam and bot activity in stock microblogs on Twitter

Autoren: Stefano Cresci, Fabrizio Lillo, Daniele Regoli, Serena Tardelli, Maurizio Tesconi
Veröffentlicht in: ICWSM, 2018
Herausgeber: ICWSM

Heterogeneity-Aware Resource Allocation

Autoren: Alessio Netti, Cristian Galleguillos, Zeynep Kiziltan, Alina Sîrbu, Ozalp Babaoglu
Veröffentlicht in: 2018, Seite(n) 3-21
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-92040-5_1

Cognified Distributed Computing

Autoren: Ozalp Babaoglu, Alina Sirbu
Veröffentlicht in: 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018, Seite(n) 1180-1191, ISBN 978-1-5386-6871-9
Herausgeber: IEEE
DOI: 10.1109/ICDCS.2018.00118

Quantifying Media Influence and Partisan Attention on Twitter During the UK EU Referendum

Autoren: Genevieve Gorrell, Ian Roberts, Mark A. Greenwood, Mehmet E. Bakir, Benedetta Iavarone, Kalina Bontcheva
Veröffentlicht in: SocInfo 2018, 2018, Seite(n) 274-290
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-01129-1_17

Investigating Similarity of Nodes' Attributes in Topological Based Communities.

Autoren: Rajesh Sharma, Danilo Montesi
Veröffentlicht in: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018, Seite(n) 1253-1260, ISBN 9781-450356404
Herausgeber: ACM Press
DOI: 10.1145/3184558.3191564

Individual-Level Social Capital in Weighted and Attributed Social Networks

Autoren: Rajesh Sharma, Kevin McAreavey, Jun Hong, Faisal Ghaffar
Veröffentlicht in: 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018, Seite(n) 1032-1037, ISBN 978-1-5386-6051-5
Herausgeber: IEEE
DOI: 10.1109/asonam.2018.8508302

Diffusive Phenomena in Dynamic Networks: A Data-Driven Study

Autoren: Letizia Milli, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti
Veröffentlicht in: International Workshop on Complex Networks CompleNet 2018, 2018, Seite(n) 151-159
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-73198-8_13

Twits, Twats and Twaddle: Trends in Online Abuse toward UK Politicians

Autoren: Gorrell, G., Greenwood, M. A., Roberts, I., Maynard, D. and Bontcheva, K.
Veröffentlicht in: International AAAI Conference on Web and Social Media, 2018
Herausgeber: ICWSM

Discovering Mobility Functional Areas

Autoren: Lorenzo Gabrielli, Daniele Fadda, Giulio Rossetti, Mirco Nanni, Leonardo Piccinini, Dino Pedreschi, Fosca Giannotti, Patrizia Lattarulo
Veröffentlicht in: 9th Conference on Complex Networks, CompleNet 2018. Boston, US, 2018, Seite(n) 311-322
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-73198-8_27

Privacy preserving multidimensional profiling

Autoren: Francesca Pratesi, Anna Monreale, Fosca Giannotti, Dino Pedreschi
Veröffentlicht in: 2018, Seite(n) 142-152
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-76111-4_15

A Deep Neural Network Sentence Level Classification Method with Context Information

Autoren: Xingyi Song, Johann Petrak, Angus Roberts
Veröffentlicht in: Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Herausgeber: EMNLP 2018

Power Consumption Modeling and Prediction in a Hybrid CPU-GPU-MIC Supercomputer (preliminary version)

Autoren: Sîrbu, Alina; Babaoglu, Ozalp
Veröffentlicht in: European Conference on Parallel Processing Euro-Par 2016, Ausgabe 1, 2016
Herausgeber: Springer
DOI: 10.1007/978-3-319-43659-3_9

Stance Classification in Out-of-Domain Rumours: A Case Study Around Mental Health Disorders

Autoren: Ahmet Aker, Arkaitz Zubiaga, Kalina Bontcheva, Anna Kolliakou, Rob Procter, Maria Liakata
Veröffentlicht in: International Conference on Social Informatics SocInfo 2017, 2017, Seite(n) 53-64
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-67256-4_6

A Two-Stage Framework for Computing Entity Relatedness in Wikipedia

Autoren: Marco Ponza, Paolo Ferragina, Soumen Chakrabarti
Veröffentlicht in: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17, 2017, Seite(n) 1867-1876, ISBN 9781-450349185
Herausgeber: ACM Press
DOI: 10.1145/3132847.3132890

Post-Learning Optimization of Tree Ensembles for Efficient Ranking

Autoren: Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani
Veröffentlicht in: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16, 2016, Seite(n) 949-952, ISBN 9781-450340694
Herausgeber: ACM Press
DOI: 10.1145/2911451.2914763

Fast Feature Selection for Learning to Rank

Autoren: Andrea Gigli, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego
Veröffentlicht in: Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval - ICTIR '16, 2016, Seite(n) 167-170, ISBN 9781-450344975
Herausgeber: ACM Press
DOI: 10.1145/2970398.2970433

Learning to Rank User Queries to Detect Search Tasks

Autoren: Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Gabriele Tolomei
Veröffentlicht in: Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval - ICTIR '16, 2016, Seite(n) 157-166, ISBN 9781-450344975
Herausgeber: ACM Press
DOI: 10.1145/2970398.2970407

Privacy-Preserving Outsourcing of Data Mining

Autoren: Anna Monreale, Wendy Hui Wang
Veröffentlicht in: 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), 2016, Seite(n) 583-588, ISBN 978-1-4673-8845-0
Herausgeber: IEEE
DOI: 10.1109/compsac.2016.169

Accuracy vs. traffic trade-off of learning IoT data patterns at the edge with hypothesis transfer learning

Autoren: Lorenzo Valerio, Andrea Passarella, Marco Conti
Veröffentlicht in: 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), 2016, Seite(n) 1-6, ISBN 978-1-5090-1131-5
Herausgeber: IEEE
DOI: 10.1109/rtsi.2016.7740634

Hypothesis Transfer Learning for Efficient Data Computing in Smart Cities Environments

Autoren: Lorenzo Valerio, Andrea Passarella, Marco Conti
Veröffentlicht in: 2016 IEEE International Conference on Smart Computing (SMARTCOMP), 2016, Seite(n) 1-8, ISBN 978-1-5090-0898-8
Herausgeber: IEEE
DOI: 10.1109/smartcomp.2016.7501696

Optimal trade-off between accuracy and network cost of distributed learning in Mobile Edge Computing: An analytical approach

Autoren: Lorenzo Valerio, Andrea Passarella, Marco Conti
Veröffentlicht in: 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2017, Seite(n) 1-9, ISBN 978-1-5386-2723-5
Herausgeber: IEEE
DOI: 10.1109/wowmom.2017.7974310

Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles

Autoren: Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
Veröffentlicht in: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16, 2016, Seite(n) 833-836, ISBN 9781-450340694
Herausgeber: ACM Press
DOI: 10.1145/2911451.2914758

Behavioral entropy and profitability in retail

Autoren: Riccardo Guidotti, Michele Coscia, Dino Pedreschi, Diego Pennacchioli
Veröffentlicht in: 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2015, Seite(n) 1-10, ISBN 978-1-4673-8272-4
Herausgeber: IEEE
DOI: 10.1109/dsaa.2015.7344821

Analyzing web archives through topic and event focused sub-collections

Autoren: Demidova, Elena; Risse, Thomas; Gossen, Gerhard
Veröffentlicht in: Proceedings of the 8th ACM Conference on Web Science - WebSci '16, 2016, Seite(n) 291--295
Herausgeber: ACM
DOI: 10.1145/2908131.2908175

Detection, tracking, and visualization of spatial event clusters for real time monitoring

Autoren: Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Salvatore Rinzivillo, Hans-Dieter Betz
Veröffentlicht in: 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2015, Seite(n) 1-10, ISBN 978-1-4673-8272-4
Herausgeber: IEEE
DOI: 10.1109/DSAA.2015.7344880

Fast and Compact Hamming Distance Index

Autoren: Simon Gog, Rossano Venturini
Veröffentlicht in: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16, 2016, Seite(n) 285-294, ISBN 9781-450340694
Herausgeber: ACM Press
DOI: 10.1145/2911451.2911523

A Piggyback System for Joint Entity Mention Detection and Linking in Web Queries

Autoren: Marco Cornolti, Paolo Ferragina, Massimiliano Ciaramita, Stefan Rüd, Hinrich Schütze
Veröffentlicht in: Proceedings of the 25th International Conference on World Wide Web - WWW '16, 2016, Seite(n) 567-578, ISBN 9781-450341431
Herausgeber: ACM Press
DOI: 10.1145/2872427.2883061

A Large Scale Study to Understand the Relation between Twitter and Financial Market

Autoren: Lorenzo Cazzoli, Rajesh Sharma, Michele Treccani, Fabrizio Lillo
Veröffentlicht in: 2016 Third European Network Intelligence Conference (ENIC), 2016, Seite(n) 98-105, ISBN 978-1-5090-3455-0
Herausgeber: IEEE
DOI: 10.1109/ENIC.2016.022

Reducing Controversy by Connecting Opposing Views

Autoren: Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
Veröffentlicht in: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining - WSDM '17, 2017, Seite(n) 81-90, ISBN 9781-450346757
Herausgeber: ACM Press
DOI: 10.1145/3018661.3018703

Extracting Skill Endorsements from Personal Communication Data

Autoren: Darshan M. Shankaralingappa, Gianmarco De Fransicsi Morales, Aristides Gionis
Veröffentlicht in: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16, 2016, Seite(n) 1961-1964, ISBN 9781-450340731
Herausgeber: ACM Press
DOI: 10.1145/2983323.2983884

Reconstructing an Epidemic Over Time

Autoren: Polina Rozenshtein, Aristides Gionis, B. Aditya Prakash, Jilles Vreeken
Veröffentlicht in: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16, 2016, Seite(n) 1835-1844, ISBN 9781-450342322
Herausgeber: ACM Press
DOI: 10.1145/2939672.2939865

Quantifying Controversy in Social Media

Autoren: Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
Veröffentlicht in: Proceedings of the Ninth ACM International Conference on Web Search and Data Mining - WSDM '16, 2016, Seite(n) 33-42, ISBN 9781-450337168
Herausgeber: ACM Press
DOI: 10.1145/2835776.2835792

"""What Is the City but the People?"" - Exploring Urban Activity Using Social Web Traces"

Autoren: Emre Çelikten, Géraud Le Falher, Michael Mathioudakis
Veröffentlicht in: Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion, 2016, Seite(n) 167-170, ISBN 9781-450341448
Herausgeber: ACM Press
DOI: 10.1145/2872518.2901922

Tracking Language Mobility in the Twitter Landscape

Autoren: Izabela Moise, Edward Gaere, Ruben Merz, Stefan Koch, Evangelos Pournaras
Veröffentlicht in: 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), 2016, Seite(n) 663-670, ISBN 978-1-5090-5910-2
Herausgeber: IEEE
DOI: 10.1109/ICDMW.2016.0099

The technical hashtag in Twitter data: A hadoop experience

Autoren: Izabela Moise
Veröffentlicht in: 2016 IEEE International Conference on Big Data (Big Data), 2016, Seite(n) 3519-3528, ISBN 978-1-4673-9005-7
Herausgeber: IEEE
DOI: 10.1109/BigData.2016.7841015

Community-aware network sparsifications

Autoren: Aristides Gionis, Polina Rozenshtein, Nikolaj Tatti, Evimaria Terzi
Veröffentlicht in: SIAM International Conference on Data Mining, 2016, Seite(n) 426-434
Herausgeber: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611974973.48

AncestryAI - A Tool for Exploring Computationally Inferred Family Trees

Autoren: Eric Malmi, Marko Rasa, Aristides Gionis
Veröffentlicht in: Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion, 2017, Seite(n) 257-261, ISBN 9781-450349147
Herausgeber: ACM Press
DOI: 10.1145/3041021.3054728

Media Attention to Science

Autoren: Kiran Garimella, Han Xiao
Veröffentlicht in: Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion, 2017, Seite(n) 779-780, ISBN 9781-450349147
Herausgeber: ACM Press
DOI: 10.1145/3041021.3054215

Understanding International Migration using Tensor Factorization

Autoren: Hieu Nguyen, Kiran Garimella
Veröffentlicht in: Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Herausgeber: ACM

Discovering the Network Backbone from Traffic Activity Data

Autoren: Sanjay Chawla, Kiran Garimella, Aristides Gionis, Dominic Tsang
Veröffentlicht in: Advances in Knowledge Discovery and Data Mining, 2016, Seite(n) 409-422
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-31753-3_33

Quote RTs on Twitter - usage of the new feature for political discourse

Autoren: Kiran Garimella, Ingmar Weber, Munmun De Choudhury
Veröffentlicht in: Proceedings of the 8th ACM Conference on Web Science - WebSci '16, 2016, Seite(n) 200-204, ISBN 9781-450342087
Herausgeber: ACM Press
DOI: 10.1145/2908131.2908170

Social Media Image Analysis for Public Health

Autoren: Venkata Rama Kiran Garimella, Abdulrahman Alfayad, Ingmar Weber
Veröffentlicht in: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI '16, 2016, Seite(n) 5543-5547, ISBN 9781-450333627
Herausgeber: ACM Press
DOI: 10.1145/2858036.2858234

Mining social interactions in privacy-preserving temporal networks

Autoren: Federico Musciotto, Saverio Delpriori, Paolo Castagno, Evangelos Pournaras
Veröffentlicht in: 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016, Seite(n) 1103-1110, ISBN 978-1-5090-2846-7
Herausgeber: IEEE
DOI: 10.1109/ASONAM.2016.7752378

SEL - A Unified Algorithm for Entity Linking and Saliency Detection

Autoren: Salvatore Trani, Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego
Veröffentlicht in: Proceedings of the 2016 ACM Symposium on Document Engineering - DocEng '16, 2016, Seite(n) 85-94, ISBN 9781-450344388
Herausgeber: ACM Press
DOI: 10.1145/2960811.2960819

Predicting system-level power for a hybrid supercomputer

Autoren: Alina Sirbu, Ozalp Babaoglu
Veröffentlicht in: 2016 International Conference on High Performance Computing & Simulation (HPCS), 2016, Seite(n) 826-833, ISBN 978-1-5090-2088-1
Herausgeber: IEEE
DOI: 10.1109/HPCSim.2016.7568420

Maximum entropy approach to link prediction in bipartite networks

Autoren: M. Baltakiene, K. Baltakys, D. Cardamone, F. Parisi, T. Radicioni, M. Torricelli, Jeroen van Lidth de Jeude, Fabio Saracco
Veröffentlicht in: 2019
Herausgeber: Arxiv

SCube: A Tool for Segregation Discovery

Autoren: Alessandro Baroni, Salvatore Ruggieri
Veröffentlicht in: 2019
Herausgeber: EDBT19
DOI: 10.5441/002/edbt.2019.51

Semantically-Aware Statistical Metrics via Weighting Kernels

Autoren: Stefano Cresci, Roberto Di Pietro, Maurizio Tesconi
Veröffentlicht in: 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2019, Seite(n) 51-60, ISBN 978-1-7281-4493-1
Herausgeber: IEEE DSAA
DOI: 10.1109/dsaa.2019.00019

Detecting Malicious Social Bots: Story of a Never-Ending Clash

Autoren: Stefano Cresci
Veröffentlicht in: 2019
Herausgeber: MISDOOM'19

Statistical embedding for directed graphs

Autoren: Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin
Veröffentlicht in: 2019
Herausgeber: ArXiv

Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network

Autoren: Ye Jiang, Johann Petrak, Xingyi Song, Kalina Bontcheva, Diana Maynard
Veröffentlicht in: Proceedings of the 13th International Workshop on Semantic Evaluation, 2019, Seite(n) 840-844
Herausgeber: Association for Computational Linguistics
DOI: 10.18653/v1/s19-2146

Exploring Interpretable LSTM Neural Networks over Multi-Variable Data

Autoren: Tian Guo, Tao Lin, Nino Antulov-Fantulin
Veröffentlicht in: 2019
Herausgeber: ICML 2019

Sensing Social Media Signals for Cryptocurrency News

Autoren: Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Zhang Ce, Dirk Helbing, Nino Antulov-Fantulin
Veröffentlicht in: Companion Proceedings of The 2019 World Wide Web Conference on - WWW '19, 2019, Seite(n) 1051-1054, ISBN 9781-450366755
Herausgeber: ACM Press
DOI: 10.1145/3308560.3316706

Node Representation Learning for Directed Graphs

Autoren: Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand
Veröffentlicht in: 2019
Herausgeber: ECMLPKDD 2019

Asynchronous Training of Word Embeddings for Large Text Corpora

Autoren: Avishek Anand, Megha Khosla, Jaspreet Singh, Jan-Hendrik Zab, Zijian Zhang
Veröffentlicht in: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining - WSDM '19, 2019, Seite(n) 168-176, ISBN 9781-450359405
Herausgeber: ACM Press
DOI: 10.1145/3289600.3291011

Social structure formation in a network of agents playing a hybrid of ultimatum and dictator games

Autoren: Snellman, Jan E.; Barrio, Rafael; Kaski, Kimmo
Veröffentlicht in: Ausgabe 5, 2019
Herausgeber: ArXiv

LEARning Next gEneration Rankers (LEARNER 2017)

Autoren: Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
Veröffentlicht in: Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '17, 2017, Seite(n) 331-332, ISBN 9781-450344906
Herausgeber: ACM Press
DOI: 10.1145/3121050.3121110

Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders

Autoren: Tian Guo, Albert Bifet, Nino Antulov-Fantulin
Veröffentlicht in: 2018 IEEE International Conference on Data Mining (ICDM), 2018, Seite(n) 989-994, ISBN 978-1-5386-9159-5
Herausgeber: IEEE
DOI: 10.1109/ICDM.2018.00123

QUANTIFYING THE RELATION BETWEEN PERFORMANCE AND SUCCESS IN SOCCER

Autoren: LUCA PAPPALARDO, PAOLO CINTIA
Veröffentlicht in: Advances in Complex Systems, Ausgabe 21/03n04, 2018, Seite(n) 1750014, ISSN 0219-5259
Herausgeber: World Scientific Publishing Co
DOI: 10.1142/S021952591750014X

Simulating SIR processes on networks using weighted shortest paths

Autoren: Tolić, Dijana; Kleineberg, Kaj-Kolja; Antulov-Fantulin, Nino
Veröffentlicht in: Scientific Reports, 8, Ausgabe 5, 2018, ISSN 0028-0836
Herausgeber: Nature Publishing Group
DOI: 10.3929/ethz-b-000263245

Role of risk and information in a group formation experiment on a small-world network

Autoren: Bhattacharya, Kunal; Takko, Tuomas; Monsivais, Daniel; Kaski, Kimmo
Veröffentlicht in: Journal of the Royal Society Interface, Ausgabe 2, 2018, ISSN 1742-5662
Herausgeber: Journal of the Royal Society Interface

A Survey of Methods for Explaining Black Box Models

Autoren: Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini, Fosca Giannotti, Dino Pedreschi
Veröffentlicht in: ACM Computing Surveys, Ausgabe 51/5, 2018, Seite(n) 1-42, ISSN 0360-0300
Herausgeber: Association for Computing Machinary, Inc.
DOI: 10.1145/3236009

Detection and Resolution of Rumours in Social Media

Autoren: Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva, Maria Liakata, Rob Procter
Veröffentlicht in: ACM Computing Surveys, Ausgabe 51/2, 2018, Seite(n) 1-36, ISSN 0360-0300
Herausgeber: Association for Computing Machinary, Inc.
DOI: 10.1145/3161603

NDlib: a python library to model and analyze diffusion processes over complex networks

Autoren: Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sîrbu, Dino Pedreschi, Fosca Giannotti
Veröffentlicht in: International Journal of Data Science and Analytics, Ausgabe 5/1, 2018, Seite(n) 61-79, ISSN 2364-4168
Herausgeber: Springer
DOI: 10.1007/s41060-017-0086-6

A nonlinear orthogonal non-negative matrix factorization approach to subspace clustering

Autoren: Dijana Tolić, Nino Antulov-Fantulin, Ivica Kopriva
Veröffentlicht in: Pattern Recognition, Ausgabe 82, 2018, Seite(n) 40-55, ISSN 0031-3203
Herausgeber: Pergamon Press
DOI: 10.1016/j.patcog.2018.04.029

Forecasting success via early adoptions analysis: A data-driven study

Autoren: Giulio Rossetti, Letizia Milli, Fosca Giannotti, Dino Pedreschi
Veröffentlicht in: PLOS ONE, Ausgabe 12/12, 2017, Seite(n) e0189096, ISSN 1932-6203
Herausgeber: Public Library of Science
DOI: 10.1371/journal.pone.0189096

Underestimated Cost of Targeted Attacks on Complex Networks

Autoren: Xiao-Long Ren, Niels Gleinig, Dijana Tolić, Nino Antulov-Fantulin
Veröffentlicht in: Complexity, Ausgabe 2018, 2018, Seite(n) 1-15, ISSN 1076-2787
Herausgeber: John Wiley & Sons Inc.
DOI: 10.1155/2018/9826243

Social fingerprinting: detection of spambot groups through DNA-inspired behavioral modeling

Autoren: Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi, Maurizio Tesconi
Veröffentlicht in: IEEE Transactions on Dependable and Secure Computing, 2018, Seite(n) 1-1, ISSN 1545-5971
Herausgeber: IEEE Computer Society
DOI: 10.1109/TDSC.2017.2681672

Stochastic block model reveals maps of citation patterns and their evolution in time

Autoren: Darko Hric, Kimmo Kaski, Mikko Kivelä
Veröffentlicht in: Journal of Informetrics, Ausgabe 12/3, 2018, Seite(n) 757-783, ISSN 1751-1577
Herausgeber: Elsevier BV
DOI: 10.1016/j.joi.2018.05.004

Resolution of ranking hierarchies in directed networks

Autoren: Elisa Letizia, Paolo Barucca, Fabrizio Lillo
Veröffentlicht in: PLOS ONE, Ausgabe 13/2, 2018, Seite(n) e0191604, ISSN 1932-6203
Herausgeber: Public Library of Science
DOI: 10.1371/journal.pone.0191604

$\text{RD}\small{\text{YN}}$ : graph benchmark handling community dynamics

Autoren: Giulio Rossetti
Veröffentlicht in: Journal of Complex Networks, Ausgabe 5/6, 2017, Seite(n) 893-912, ISSN 2051-1310
Herausgeber: Oxfors Academic
DOI: 10.1093/comnet/cnx016

Node-centric Community Discovery: From static to dynamic social network analysis

Autoren: Giulio Rossetti, Dino Pedreschi, Fosca Giannotti
Veröffentlicht in: Online Social Networks and Media, Ausgabe 3-4, 2017, Seite(n) 32-48, ISSN 2468-6964
Herausgeber: Elsevier
DOI: 10.1016/j.osnem.2017.10.003

Perception of social phenomena through the multidimensional analysis of online social networks

Autoren: Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso
Veröffentlicht in: Online Social Networks and Media, Ausgabe 1, 2017, Seite(n) 14-32, ISSN 2468-6964
Herausgeber: Elsevier
DOI: 10.1016/j.osnem.2017.03.001

Data Collection for Mental Health Studies Through Digital Platforms: Requirements and Design of a Prototype

Autoren: Talayeh Aledavood, Ana Maria Triana Hoyos, Tuomas Alakörkkö, Kimmo Kaski, Jari Saramäki, Erkki Isometsä, Richard K Darst
Veröffentlicht in: JMIR Research Protocols, Ausgabe 6/6, 2017, Seite(n) e110, ISSN 1929-0748
Herausgeber: JMIR Publications
DOI: 10.2196/resprot.6919

Migration patterns of parents, children and siblings: Evidence for patrilocality in contemporary Finland

Autoren: Asim Ghosh, Venla Berg, Kunal Bhattacharya, Daniel Monsivais, Janos Kertesz, Kimmo Kaski, Anna Rotkirch
Veröffentlicht in: Population, Space and Place, 2018, Seite(n) e2208, ISSN 1544-8444
Herausgeber: John Wiley & Sons Inc.
DOI: 10.1002/psp.2208

X-CLE a VER

Autoren: Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani
Veröffentlicht in: ACM Transactions on Intelligent Systems and Technology, Ausgabe 9/6, 2018, Seite(n) 1-26, ISSN 2157-6904
Herausgeber: Association for Computing Machinery (ACM)
DOI: 10.1145/3205453

Gravity and scaling laws of city to city migration

Autoren: Rafael Prieto Curiel, Luca Pappalardo, Lorenzo Gabrielli, Steven Richard Bishop
Veröffentlicht in: PLOS ONE, Ausgabe 13/7, 2018, Seite(n) e0199892, ISSN 1932-6203
Herausgeber: Public Library of Science
DOI: 10.1371/journal.pone.0199892

Data science at SoBigData: the European research infrastructure for social mining and big data analytics

Autoren: Valerio Grossi, Beatrice Rapisarda, Fosca Giannotti, Dino Pedreschi
Veröffentlicht in: International Journal of Data Science and Analytics, Ausgabe 6/3, 2018, Seite(n) 205-216, ISSN 2364-415X
Herausgeber: Springer
DOI: 10.1007/s41060-018-0126-x

Effective injury forecasting in soccer with GPS training data and machine learning

Autoren: Alessio Rossi, Luca Pappalardo, Paolo Cintia, F. Marcello Iaia, Javier Fernàndez, Daniel Medina
Veröffentlicht in: PLOS ONE, Ausgabe 13/7, 2018, Seite(n) e0201264, ISSN 1932-6203
Herausgeber: Public Library of Science
DOI: 10.1371/journal.pone.0201264

Discovering temporal regularities in retail customers’ shopping behavior

Autoren: Riccardo Guidotti, Lorenzo Gabrielli, Anna Monreale, Dino Pedreschi, Fosca Giannotti
Veröffentlicht in: EPJ Data Science, Ausgabe 7/1, 2018, ISSN 2193-1127
Herausgeber: Springer
DOI: 10.1140/epjds/s13688-018-0133-0

Data Abstraction for Visualizing Large Time Series

Autoren: G. Shurkhovetskyy, N. Andrienko, G. Andrienko, G. Fuchs
Veröffentlicht in: Computer Graphics Forum, Ausgabe 37/1, 2018, Seite(n) 125-144, ISSN 0167-7055
Herausgeber: Blackwell Publishing Inc.
DOI: 10.1111/cgf.13237

The Electric City as a Solution to Sustainable Urban Development

Autoren: Iain D. Stewart, Chris A. Kennedy, Angelo Facchini, Renata Mele
Veröffentlicht in: Journal of Urban Technology, Ausgabe 25/1, 2018, Seite(n) 3-20, ISSN 1063-0732
Herausgeber: Carfax Publishing Ltd.
DOI: 10.1080/10630732.2017.1386940

A Complex Network Approach for the Estimation of the Energy Demand of Electric Mobility

Autoren: Mario Mureddu, Angelo Facchini, Antonio Scala, Guido Caldarelli, Alfonso Damiano
Veröffentlicht in: Scientific Reports, Ausgabe 8/1, 2018, ISSN 2045-2322
Herausgeber: Nature Publishing Group
DOI: 10.1038/s41598-017-17838-5

From Ecology to Finance (and Back?): A Review on Entropy-Based Null Models for the Analysis of Bipartite Networks

Autoren: Mika J. Straka, Guido Caldarelli, Tiziano Squartini, Fabio Saracco
Veröffentlicht in: Journal of Statistical Physics, 2017, ISSN 0022-4715
Herausgeber: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10955-018-2039-4

Entropy-based approach to missing-links prediction

Autoren: Federica Parisi, Guido Caldarelli, Tiziano Squartini
Veröffentlicht in: Applied Network Science, Ausgabe 3/1, 2018, ISSN 2364-8228
Herausgeber: Springer
DOI: 10.1007/s41109-018-0073-4

Reconstruction methods for networks: The case of economic and financial systems

Autoren: Tiziano Squartini, Guido Caldarelli, Giulio Cimini, Andrea Gabrielli, Diego Garlaschelli
Veröffentlicht in: Physics Reports, 2018, ISSN 0370-1573
Herausgeber: Elsevier BV
DOI: 10.1016/j.physrep.2018.06.008

Reconstructing Mesoscale Network Structures

Autoren: Jeroen van Lidth de Jeude, Riccardo Di Clemente, Guido Caldarelli, Fabio Saracco, Tiziano Squartini
Veröffentlicht in: Complexity, Ausgabe 2019, 2019, Seite(n) 1-13, ISSN 1076-2787
Herausgeber: John Wiley & Sons Inc.
DOI: 10.1155/2019/5120581

The organization of the interbank network and how ECB unconventional measures affected the e-MID overnight market

Autoren: Paolo Barucca, Fabrizio Lillo
Veröffentlicht in: Computational Management Science, Ausgabe 15/1, 2018, Seite(n) 33-53, ISSN 1619-697X
Herausgeber: Springer Verlag
DOI: 10.1007/s10287-017-0293-6

Measuring the propagation of financial distress with Granger-causality tail risk networks

Autoren: Fulvio Corsi, Fabrizio Lillo, Davide Pirino, Luca Trapin
Veröffentlicht in: Journal of Financial Stability, Ausgabe 38, 2018, Seite(n) 18-36, ISSN 1572-3089
Herausgeber: Elsevier BV
DOI: 10.1016/j.jfs.2018.06.003

Colombian Export Capabilities: Building the Firms-Products Network

Autoren: Matteo Bruno, Fabio Saracco, Tiziano Squartini, Marco Dueñas
Veröffentlicht in: Entropy, Ausgabe 20/10, 2018, Seite(n) 785, ISSN 1099-4300
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e20100785

Assessing systemic risk due to fire sales spillover through maximum entropy network reconstruction

Autoren: Domenico Di Gangi, Fabrizio Lillo, Davide Pirino
Veröffentlicht in: Journal of Economic Dynamics and Control, Ausgabe 94, 2018, Seite(n) 117-141, ISSN 0165-1889
Herausgeber: Elsevier BV
DOI: 10.1016/j.jedc.2018.07.001

A data-driven approach to modeling power consumption for a hybrid supercomputer

Autoren: Alina Sîrbu, Ozalp Babaoglu
Veröffentlicht in: Concurrency and Computation: Practice and Experience, Ausgabe 30/9, 2018, Seite(n) e4410, ISSN 1532-0626
Herausgeber: John Wiley & Sons Inc.
DOI: 10.1002/cpe.4410

Simulating SIR processes on networks using weighted shortest paths

Autoren: Dijana Tolić, Kaj-Kolja Kleineberg, Nino Antulov-Fantulin
Veröffentlicht in: Scientific Reports, Ausgabe 8/1, 2018, ISSN 2045-2322
Herausgeber: Nature Publishing Group
DOI: 10.1038/s41598-018-24648-w

What matters most to people around the world? Retrieving Better Life Index priorities on Twitter

Autoren: Giuliano Resce, Diana Maynard
Veröffentlicht in: Technological Forecasting and Social Change, 2018, ISSN 0040-1625
Herausgeber: Elsevier BV
DOI: 10.1016/j.techfore.2018.06.044

Community Discovery in Dynamic Networks

Autoren: Giulio Rossetti, Rémy Cazabet
Veröffentlicht in: ACM Computing Surveys, Ausgabe 51/2, 2018, Seite(n) 1-37, ISSN 0360-0300
Herausgeber: Association for Computing Machinary, Inc.
DOI: 10.1145/3172867

A Data Mining Approach to Assess Privacy Risk in Human Mobility Data

Autoren: Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale
Veröffentlicht in: ACM Transactions on Intelligent Systems and Technology, Ausgabe 9/3, 2018, Seite(n) 1-27, ISSN 2157-6904
Herausgeber: Association for Computing Machinery (ACM)
DOI: 10.1145/3106774

A framework for real-time semantic social media analysis

Autoren: Diana Maynard, Ian Roberts, Mark A. Greenwood, Dominic Rout, Kalina Bontcheva
Veröffentlicht in: Web Semantics: Science, Services and Agents on the World Wide Web, Ausgabe 44, 2017, Seite(n) 75-88, ISSN 1570-8268
Herausgeber: Elsevier BV
DOI: 10.1016/j.websem.2017.05.002

MobilityGraphs: Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering

Autoren: Tatiana von Landesberger, Felix Brodkorb, Philipp Roskosch, Natalia Andrienko, Gennady Andrienko, Andreas Kerren
Veröffentlicht in: IEEE Transactions on Visualization and Computer Graphics, Ausgabe 22/1, 2016, Seite(n) 11-20, ISSN 1077-2626
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvcg.2015.2468111

DNA-Inspired Online Behavioral Modeling and Its Application to Spambot Detection

Autoren: Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi, Maurizio Tesconi
Veröffentlicht in: IEEE Intelligent Systems, Ausgabe 31/5, 2016, Seite(n) 58-64, ISSN 1541-1672
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mis.2016.29

Inferring monopartite projections of bipartite networks: an entropy-based approach

Autoren: Fabio Saracco, Mika J Straka, Riccardo Di Clemente, Andrea Gabrielli, Guido Caldarelli, Tiziano Squartini
Veröffentlicht in: New Journal of Physics, Ausgabe 19/5, 2017, Seite(n) 053022, ISSN 1367-2630
Herausgeber: Institute of Physics Publishing
DOI: 10.1088/1367-2630/aa6b38

Quality versus efficiency in document scoring with learning-to-rank models

Autoren: Gabriele Capannini, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto
Veröffentlicht in: Information Processing & Management, Ausgabe 52/6, 2016, Seite(n) 1161-1177, ISSN 0306-4573
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.ipm.2016.05.004

Enhanced capital-asset pricing model for the reconstruction of bipartite financial networks

Autoren: Tiziano Squartini, Assaf Almog, Guido Caldarelli, Iman van Lelyveld, Diego Garlaschelli, Giulio Cimini
Veröffentlicht in: Physical Review E, Ausgabe 96/3, 2017, ISSN 2470-0045
Herausgeber: APS Physics -Physical review
DOI: 10.1103/physreve.96.032315

An Interactive Approach for Exploration of Flows Through Direction-Based Filtering

Autoren: Katerina Vrotsou, Georg Fuchs, Natalia Andrienko, Gennady Andrienko
Veröffentlicht in: Journal of Geovisualization and Spatial Analysis, Ausgabe 1/1-2, 2017, ISSN 2509-8810
Herausgeber: Springer International Publishing
DOI: 10.1007/s41651-017-0001-7

Online Social Networks and information diffusion: The role of ego networks

Autoren: Valerio Arnaboldi, Marco Conti, Andrea Passarella, Robin I.M. Dunbar
Veröffentlicht in: Online Social Networks and Media, Ausgabe 1, 2017, Seite(n) 44-55, ISSN 2468-6964
Herausgeber: Elsevier
DOI: 10.1016/j.osnem.2017.04.001

A communication efficient distributed learning framework for smart environments

Autoren: Lorenzo Valerio, Andrea Passarella, Marco Conti
Veröffentlicht in: Pervasive and Mobile Computing, Ausgabe 41, 2017, Seite(n) 46-68, ISSN 1574-1192
Herausgeber: Elsevier BV
DOI: 10.1016/j.pmcj.2017.07.014

MyWay: Location prediction via mobility profiling

Autoren: R. Trasarti, R. Guidotti, A. Monreale, F. Giannotti
Veröffentlicht in: Information Systems, Ausgabe 64, 2017, Seite(n) 350-367, ISSN 0306-4379
Herausgeber: Elsevier Science & Technology
DOI: 10.1016/j.is.2015.11.002

Exploiting Spatial Abstraction in Predictive Analytics of Vehicle Traffic

Autoren: Natalia Andrienko, Gennady Andrienko, Salvatore Rinzivillo
Veröffentlicht in: ISPRS International Journal of Geo-Information, Ausgabe 4/2, 2015, Seite(n) 591-606, ISSN 2220-9964
Herausgeber: MDPI AG
DOI: 10.3390/ijgi4020591

Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics

Autoren: Natalia Andrienko, Gennady Andrienko, Salvatore Rinzivillo
Veröffentlicht in: Information Systems, Ausgabe 57, 2016, Seite(n) 172-194, ISSN 0306-4379
Herausgeber: Elsevier Science & Technology
DOI: 10.1016/j.is.2015.08.007

Revealing Patterns and Trends of Mass Mobility through Spatial and Temporal Abstraction of Origin-Destination Movement Data

Autoren: Gennady Andrienko, Natalia Andrienko, Georg Fuchs, Jo Wood
Veröffentlicht in: IEEE Transactions on Visualization and Computer Graphics, 2016, Seite(n) 1-1, ISSN 1077-2626
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TVCG.2016.2616404

State Transition Graphs for Semantic Analysis of Movement Behaviours

Autoren: Natalia Andrienko, Gennady Andrienko
Veröffentlicht in: Information Visualization, 2017, Seite(n) 147387161769284, ISSN 1473-8716
Herausgeber: Palgrave Macmillan Ltd.
DOI: 10.1177/1473871617692841

Homophilic network decomposition: a community-centric analysis of online social services

Autoren: Giulio Rossetti, Luca Pappalardo, Riivo Kikas, Dino Pedreschi, Fosca Giannotti, Marlon Dumas
Veröffentlicht in: Social Network Analysis and Mining, Ausgabe 6/1, 2016, ISSN 1869-5450
Herausgeber: Springer
DOI: 10.1007/s13278-016-0411-4

Tiles: an online algorithm for community discovery in dynamic social networks

Autoren: Giulio Rossetti, Luca Pappalardo, Dino Pedreschi, Fosca Giannotti
Veröffentlicht in: Machine Learning, 2016, ISSN 0885-6125
Herausgeber: Kluwer Academic Publishers
DOI: 10.1007/s10994-016-5582-8

An analytical framework to nowcast well-being using mobile phone data

Autoren: Luca Pappalardo, Maarten Vanhoof, Lorenzo Gabrielli, Zbigniew Smoreda, Dino Pedreschi, Fosca Giannotti
Veröffentlicht in: International Journal of Data Science and Analytics, Ausgabe 2/1-2, 2016, Seite(n) 75-92, ISSN 2364-415X
Herausgeber: Springer
DOI: 10.1007/s41060-016-0013-2

Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model

Autoren: Luca Pappalardo, Salvatore Rinzivillo, Filippo Simini
Veröffentlicht in: Procedia Computer Science, Ausgabe 83, 2016, Seite(n) 934-939, ISSN 1877-0509
Herausgeber: Elsevier
DOI: 10.1016/j.procs.2016.04.188

Compressed Cache-Oblivious String B-Tree

Autoren: Paolo Ferragina, Rossano Venturini
Veröffentlicht in: ACM Transactions on Algorithms, Ausgabe 12/4, 2016, Seite(n) 1-17, ISSN 1549-6325
Herausgeber: Association for Computing Machinary, Inc.
DOI: 10.1145/2903141

Centrality metrics and localization in core-periphery networks

Autoren: Paolo Barucca, Daniele Tantari, Fabrizio Lillo
Veröffentlicht in: Journal of Statistical Mechanics: Theory and Experiment, Ausgabe 2016/2, 2016, Seite(n) 023401, ISSN 1742-5468
Herausgeber: Institute of Physics
DOI: 10.1088/1742-5468/2016/02/023401

Clustered Elias-Fano Indexes

Autoren: Giulio Ermanno Pibiri, Rossano Venturini
Veröffentlicht in: ACM Transactions on Information Systems, Ausgabe 36/1, 2017, Seite(n) 1-33, ISSN 1046-8188
Herausgeber: Association for Computing Machinary, Inc.
DOI: 10.1145/3052773

Disentangling bipartite and core-periphery structure in financial networks

Autoren: Paolo Barucca, Fabrizio Lillo
Veröffentlicht in: Chaos, Solitons & Fractals, Ausgabe 88, 2016, Seite(n) 244-253, ISSN 0960-0779
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.chaos.2016.02.004

Optimal information diffusion in stochastic block models

Autoren: Gianbiagio Curato, Fabrizio Lillo
Veröffentlicht in: Physical Review E, Ausgabe 94/3, 2016, ISSN 2470-0045
Herausgeber: American Physical Society
DOI: 10.1103/PhysRevE.94.032310

Statistical characterization of deviations from planned flight trajectories in air traffic management

Autoren: C. Bongiorno, G. Gurtner, F. Lillo, R.N. Mantegna, S. Miccichè
Veröffentlicht in: Journal of Air Transport Management, Ausgabe 58, 2017, Seite(n) 152-163, ISSN 0969-6997
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.jairtraman.2016.10.009

A supervised approach for intra-/inter-community interaction prediction in dynamic social networks

Autoren: Giulio Rossetti, Riccardo Guidotti, Ioanna Miliou, Dino Pedreschi, Fosca Giannotti
Veröffentlicht in: Social Network Analysis and Mining, Ausgabe 6/1, 2016, ISSN 1869-5450
Herausgeber: Springer
DOI: 10.1007/s13278-016-0397-y

Modeling Urban Behavior by Mining Geotagged Social Data

Autoren: Emre Celikten, Geraud Le Falher, Michael Mathioudakis
Veröffentlicht in: IEEE Transactions on Big Data, 2016, Seite(n) 1-1, ISSN 2332-7790
Herausgeber: IEEE
DOI: 10.1109/TBDATA.2016.2628398

Network Structure, Metadata, and the Prediction of Missing Nodes and Annotations

Autoren: Darko Hric, Tiago P. Peixoto, Santo Fortunato
Veröffentlicht in: Physical Review X, Ausgabe 6/3, 2016, ISSN 2160-3308
Herausgeber: American Physical Society
DOI: 10.1103/PhysRevX.6.031038

Network reconstruction via density sampling

Autoren: Tiziano Squartini, Giulio Cimini, Andrea Gabrielli, Diego Garlaschelli
Veröffentlicht in: Applied Network Science, Ausgabe 2/1, 2017, ISSN 2364-8228
Herausgeber: Springer
DOI: 10.1007/s41109-017-0021-8

Self-regulatory information sharing in participatory social sensing

Autoren: Evangelos Pournaras, Jovan Nikolic, Pablo Velásquez, Marcello Trovati, Nik Bessis, Dirk Helbing
Veröffentlicht in: EPJ Data Science, Ausgabe 5/1, 2016, ISSN 2193-1127
Herausgeber: Springer
DOI: 10.1140/epjds/s13688-016-0074-4

Distress Propagation in Complex Networks: The Case of Non-Linear DebtRank

Autoren: Marco Bardoscia, Fabio Caccioli, Juan Ignacio Perotti, Gianna Vivaldo, Guido Caldarelli
Veröffentlicht in: PLOS ONE, Ausgabe 11/10, 2016, Seite(n) e0163825, ISSN 1932-6203
Herausgeber: Public Library of Science
DOI: 10.1371/journal.pone.0163825

HyWare: a HYbrid Workflow lAnguage for Research E-infrastructures

Autoren: Leonardo Candela, Paolo Manghi, Fosca Gianotti, Valerio Grossi, Roberto Trasarti
Veröffentlicht in: D-Lib Magazine, Ausgabe 23/1/2, 2017, ISSN 1082-9873
Herausgeber: Corporation for National Research Initiatives
DOI: 10.1045/january2017-candela

Blockchain inefficiency in the Bitcoin peers network

Autoren: Giuseppe Pappalardo, Tiziana Di Matteo, Guido Caldarelli, Tomaso Aste
Veröffentlicht in: EPJ Data Science, Ausgabe 7/1, 2018, ISSN 2193-1127
Herausgeber: Springer Open
DOI: 10.1140/epjds/s13688-018-0159-3

The statistical physics of real-world networks

Autoren: Giulio Cimini, Tiziano Squartini, Fabio Saracco, Diego Garlaschelli, Andrea Gabrielli, Guido Caldarelli
Veröffentlicht in: Nature Reviews Physics, Ausgabe 1/1, 2019, Seite(n) 58-71, ISSN 2522-5820
Herausgeber: Nature
DOI: 10.1038/s42254-018-0002-6

Detecting core-periphery structures by surprise

Autoren: J. van Lidth de Jeude, G. Caldarelli, T. Squartini
Veröffentlicht in: EPL (Europhysics Letters), Ausgabe 125/6, 2019, Seite(n) 68001, ISSN 1286-4854
Herausgeber: EPL (Europhysics Letters)
DOI: 10.1209/0295-5075/125/68001

Structural changes in the interbank market across the financial crisis from multiple core–periphery analysis

Autoren: Sadamori Kojaku, Giulio Cimini, Guido Caldarelli, Naoki Masuda
Veröffentlicht in: The Journal of Network Theory in Finance, Ausgabe 4/3, 2018, Seite(n) 33-51, ISSN 2055-7795
Herausgeber: Journal of Network Theory in Finance
DOI: 10.21314/jntf.2018.044

Multiple structural transitions in interacting networks

Autoren: Giacomo Rapisardi, Alex Arenas, Guido Caldarelli, Giulio Cimini
Veröffentlicht in: Physical Review E, Ausgabe 98/1, 2018, ISSN 2470-0045
Herausgeber: PubMed
DOI: 10.1103/physreve.98.012302

Entropy-based randomization of rating networks

Autoren: Carolina Becatti, Guido Caldarelli, Fabio Saracco
Veröffentlicht in: Physical Review E, Ausgabe 99/2, 2019, ISSN 2470-0045
Herausgeber: PubMed
DOI: 10.1103/physreve.99.022306

Computational modelling and data-driven techniques for systems analysis

Autoren: Stan Matwin, Luca Tesei, Roberto Trasarti
Veröffentlicht in: Journal of Intelligent Information Systems, Ausgabe 52/3, 2019, Seite(n) 473-475, ISSN 0925-9902
Herausgeber: Kluwer Academic Publishers
DOI: 10.1007/s10844-019-00554-z

Energy efficient distributed analytics at the edge of the network for IoT environments

Autoren: Lorenzo Valerio, Marco Conti, Andrea Passarella
Veröffentlicht in: Pervasive and Mobile Computing, Ausgabe 51, 2018, Seite(n) 27-42, ISSN 1574-1192
Herausgeber: Elsevier BV
DOI: 10.1016/j.pmcj.2018.09.004

Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations

Autoren: Davide Morelli, Alessio Rossi, Massimo Cairo, David A. Clifton
Veröffentlicht in: Sensors, Ausgabe 19/14, 2019, Seite(n) 3163, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19143163

Semantics-Space-Time Cube. A Conceptual Framework for Systematic Analysis of Texts in Space and Time

Autoren: Jie Li, Siming Chen, Wei Chen, Gennady Andrienko, Natalia Andrienko
Veröffentlicht in: IEEE Transactions on Visualization and Computer Graphics, 2019, Seite(n) 1-1, ISSN 1077-2626
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvcg.2018.2882449

Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling

Autoren: Siming Chen, Jie Li, Gennady Andrienko, Natalia Andrienko, Yun Wang, Phong H. Nguyen, Cagatay Turkay
Veröffentlicht in: IEEE Transactions on Visualization and Computer Graphics, 2018, Seite(n) 1-1, ISSN 1077-2626
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvcg.2018.2889054

Constructing Spaces and Times for Tactical Analysis in Football

Autoren: Gennady Andrienko, Natalia Andrienko, Gabriel Anzer, Pascal Bauer, Guido Budziak, Georg Fuchs, Dirk Hecker, Hendrik Weber, Stefan Wrobel
Veröffentlicht in: IEEE Transactions on Visualization and Computer Graphics, 2019, Seite(n) 1-1, ISSN 1077-2626
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvcg.2019.2952129

Generalized network dismantling

Autoren: Xiao-Long Ren, Niels Gleinig, Dirk Helbing, Nino Antulov-Fantulin
Veröffentlicht in: Proceedings of the National Academy of Sciences, Ausgabe 116/14, 2019, Seite(n) 6554-6559, ISSN 0027-8424
Herausgeber: National Academy of Sciences
DOI: 10.1073/pnas.1806108116

Holarchic structures for decentralized deep learning: a performance analysis

Autoren: Evangelos Pournaras, Srivatsan Yadhunathan, Ada Diaconescu
Veröffentlicht in: Cluster Computing, 2019, ISSN 1386-7857
Herausgeber: Baltzer Science Publishers B.V.
DOI: 10.1007/s10586-019-02906-4

Socio-technical smart grid optimization via decentralized charge control of electric vehicles

Autoren: Evangelos Pournaras, Seoho Jung, Srivatsan Yadhunathan, Huiting Zhang, Xingliang Fang
Veröffentlicht in: Applied Soft Computing, Ausgabe 82, 2019, Seite(n) 105573, ISSN 1568-4946
Herausgeber: Elsevier BV
DOI: 10.1016/j.asoc.2019.105573

A machine learning approach to online fault classification in HPC systems

Autoren: Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
Veröffentlicht in: Future Generation Computer Systems, 2019, ISSN 0167-739X
Herausgeber: Elsevier BV
DOI: 10.1016/j.future.2019.11.029

Estimating PageRank deviations in crawled graphs

Autoren: Helge Holzmann, Avishek Anand, Megha Khosla
Veröffentlicht in: Applied Network Science, Ausgabe 4/1, 2019, ISSN 2364-8228
Herausgeber: SpringerOpen
DOI: 10.1007/s41109-019-0201-9

Effects of memory on spreading processes in non-Markovian temporal networks

Autoren: Oliver E Williams, Fabrizio Lillo, Vito Latora
Veröffentlicht in: New Journal of Physics, Ausgabe 21/4, 2019, Seite(n) 043028, ISSN 1367-2630
Herausgeber: Institute of Physics Publishing
DOI: 10.1088/1367-2630/ab13fb

Clusters of Investors Around Initial Public Offering

Autoren: Margarita Baltakienė, Kęstutis Baltakys, Juho Kanniainen, Dino Pedreschi, Fabrizio Lillo
Veröffentlicht in: SSRN Electronic Journal, 2019, ISSN 1556-5068
Herausgeber: SSRN
DOI: 10.2139/ssrn.3396911

Optimal positioning of storage systems in microgrids based on complex networks centrality measures

Autoren: Saman Korjani, Angelo Facchini, Mario Mureddu, Guido Caldarelli, Alfonso Damiano
Veröffentlicht in: Scientific Reports, Ausgabe 8/1, 2018, ISSN 2045-2322
Herausgeber: Nature Publishing Group
DOI: 10.1038/s41598-018-35128-6

Portfolio analysis and geographical allocation of renewable sources: A stochastic approach

Autoren: Antonio Scala, Angelo Facchini, Umberto Perna, Riccardo Basosi
Veröffentlicht in: Energy Policy, Ausgabe 125, 2019, Seite(n) 154-159, ISSN 0301-4215
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.enpol.2018.10.034

PRIMULE: Privacy risk mitigation for user profiles

Autoren: Francesca Pratesi, Lorenzo Gabrielli, Paolo Cintia, Anna Monreale, Fosca Giannotti
Veröffentlicht in: Data & Knowledge Engineering, 2019, Seite(n) 101786, ISSN 0169-023X
Herausgeber: Elsevier BV
DOI: 10.1016/j.datak.2019.101786

Changes to Gate Closure and its impact on wholesale electricity prices: The case of the UK

Autoren: Angelo Facchini, Alessandro Rubino, Guido Caldarelli, Giuseppe Di Liddo
Veröffentlicht in: Energy Policy, Ausgabe 125, 2019, Seite(n) 110-121, ISSN 0301-4215
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.enpol.2018.10.047

Meaningful Explanations of Black Box AI Decision Systems

Autoren: Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini
Veröffentlicht in: Proceedings of the AAAI Conference on Artificial Intelligence, Ausgabe 33, 2019, Seite(n) 9780-9784, ISSN 2374-3468
Herausgeber: AAAI Conference on Artificial Intelligence
DOI: 10.1609/aaai.v33i01.33019780

Corporate payments networks and credit risk rating

Autoren: Elisa Letizia, Fabrizio Lillo
Veröffentlicht in: EPJ Data Science, Ausgabe 8/1, 2019, ISSN 2193-1127
Herausgeber: SpringerOpen
DOI: 10.1140/epjds/s13688-019-0197-5

PlayeRank

Autoren: Luca Pappalardo, Paolo Cintia, Paolo Ferragina, Emanuele Massucco, Dino Pedreschi, Fosca Giannotti
Veröffentlicht in: ACM Transactions on Intelligent Systems and Technology, Ausgabe 10/5, 2019, Seite(n) 1-27, ISSN 2157-6904
Herausgeber: Association for Computing Machinery (ACM)
DOI: 10.1145/3343172

The italian music superdiversity

Autoren: Laura Pollacci, Riccardo Guidotti, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi
Veröffentlicht in: Multimedia Tools and Applications, Ausgabe 78/3, 2019, Seite(n) 3297-3319, ISSN 1380-7501
Herausgeber: Kluwer Academic Publishers
DOI: 10.1007/s11042-018-6511-6

Collective synchronization and high frequency systemic instabilities in financial markets

Autoren: Lucio Maria Calcagnile, Giacomo Bormetti, Michele Treccani, Stefano Marmi, Fabrizio Lillo
Veröffentlicht in: Quantitative Finance, Ausgabe 18/2, 2017, Seite(n) 237-247, ISSN 1469-7688
Herausgeber: Institute of Physics Publishing
DOI: 10.1080/14697688.2017.1403141

Automatic controversy detection in social media: A content-independent motif-based approach

Autoren: Mauro Coletto, Kiran Garimella, Aristides Gionis, Claudio Lucchese
Veröffentlicht in: Online Social Networks and Media, Ausgabe 3-4, 2017, Seite(n) 22-31, ISSN 2468-6964
Herausgeber: Elsevier
DOI: 10.1016/j.osnem.2017.10.001

CDLIB: a python library to extract, compare and evaluate communities from complex networks

Autoren: Giulio Rossetti, Letizia Milli, Rémy Cazabet
Veröffentlicht in: Applied Network Science, Ausgabe 4/1, 2019, ISSN 2364-8228
Herausgeber: SpringerOpen
DOI: 10.1007/s41109-019-0165-9

Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences

Autoren: Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi
Veröffentlicht in: IEEE Transactions on Knowledge and Data Engineering, Ausgabe 31/11, 2019, Seite(n) 2151-2163, ISSN 1041-4347
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tkde.2018.2872587

Recognizing Residents and Tourists with Retail Data Using Shopping Profiles

Autoren: Riccardo Guidotti, Lorenzo Gabrielli
Veröffentlicht in: Smart Objects and Technologies for Social Good, Ausgabe 233, 2018, Seite(n) 353-363, ISBN 978-3-319-76110-7
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-76111-4_35

The Principle of Purpose Limitation and Big Data

Autoren: Nikolaus Forgó, Stefanie Hänold, Benjamin Schütze
Veröffentlicht in: 2017, Seite(n) 17-42
Herausgeber: Springer Singapore
DOI: 10.1007/978-981-10-5038-1_2

FINJ: A Fault Injection Tool for HPC Systems

Autoren: Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
Veröffentlicht in: Euro-Par 2018: Parallel Processing Workshops - Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers, Ausgabe 11339, 2019, Seite(n) 800-812, ISBN 978-3-030-10548-8
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-10549-5_62

Document Aboutness via Sophisticated Syntactic and Semantic Features

Autoren: Marco Ponza, Paolo Ferragina, Francesco Piccinno
Veröffentlicht in: Natural Language Processing and Information Systems, Ausgabe 10260, 2017, Seite(n) 441-453, ISBN 978-3-319-59568-9
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-59569-6_53

Evaluating Top-K Approximate Patterns via Text Clustering

Autoren: Claudio Lucchese, Salvatore Orlando, Raffaele Perego
Veröffentlicht in: Big Data Analytics and Knowledge Discovery, Ausgabe 9829, 2016, Seite(n) 114-127, ISBN 978-3-319-43945-7
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-43946-4_8

Audio Ergo Sum

Autoren: Riccardo Guidotti, Giulio Rossetti, Dino Pedreschi
Veröffentlicht in: Software Technologies: Applications and Foundations, Ausgabe 9946, 2016, Seite(n) 51-66, ISBN 978-3-319-50229-8
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-50230-4_5

Going Beyond GDP to Nowcast Well-Being Using Retail Market Data

Autoren: Riccardo Guidotti, Michele Coscia, Dino Pedreschi, Diego Pennacchioli
Veröffentlicht in: Advances in Network Science, Ausgabe 9564, 2016, Seite(n) 29-42, ISBN 978-3-319-28360-9
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-28361-6_3

Analysis of Co-authorship Ego Networks

Autoren: Valerio Arnaboldi, Robin I. M. Dunbar, Andrea Passarella, Marco Conti
Veröffentlicht in: Advances in Network Science, Ausgabe 9564, 2016, Seite(n) 82-96, ISBN 978-3-319-28360-9
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-28361-6_7

A Novel Approach to Predict Retweets and Replies Based on Privacy and Complexity-Aware Feature Planes

Autoren: Kamini Garg, Valerio Arnaboldi, Silvia Giordano
Veröffentlicht in: Complex Networks & Their Applications V, Ausgabe 693, 2017, Seite(n) 459-471, ISBN 978-3-319-50900-6
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-50901-3_37

Modeling Peer and External Influence in Online Social Networks: Case of 2013 Referendum in Croatia

Autoren: Matija Piškorec, Nino Antulov-Fantulin, Iva Miholić, Tomislav Šmuc, Mile Šikić
Veröffentlicht in: Complex Networks & Their Applications VI, Ausgabe 689, 2018, Seite(n) 1015-1027, ISBN 978-3-319-72149-1
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-72150-7_82

Assessing Privacy Risk in Retail Data

Autoren: Roberto Pellungrini, Francesca Pratesi, Luca Pappalardo
Veröffentlicht in: Personal Analytics and Privacy. An Individual and Collective Perspective, Ausgabe 10708, 2017, Seite(n) 17-22, ISBN 978-3-319-71969-6
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-71970-2_3

Methods for Reconstructing Interbank Networks from Limited Information: A Comparison

Autoren: Piero Mazzarisi, Fabrizio Lillo
Veröffentlicht in: Econophysics and Sociophysics: Recent Progress and Future Directions, 2017, Seite(n) 201-215, ISBN 978-3-319-47704-6
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-47705-3_15

Predicting Movies’ Box Office Result - A Large Scale Study Across Hollywood and Bollywood

Autoren: Risko Ruus, Rajesh Sharma
Veröffentlicht in: Complex Networks and Their Applications VIII - Volume 2 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019, Ausgabe 882, 2020, Seite(n) 982-994, ISBN 978-3-030-36682-7
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-36683-4_78

Ensemble Approach for Generalized Network Dismantling

Autoren: Xiao-Long Ren, Nino Antulov-Fantulin
Veröffentlicht in: Complex Networks and Their Applications VIII - Volume 1 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019, Ausgabe 881, 2020, Seite(n) 783-793, ISBN 978-3-030-36686-5
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-36687-2_65

Impact of Natural and Social Events on Mobile Call Data Records – An Estonian Case Study

Autoren: Hendrik Hiir, Rajesh Sharma, Anto Aasa, Erki Saluveer
Veröffentlicht in: Complex Networks and Their Applications VIII - Volume 2 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019, Ausgabe 882, 2020, Seite(n) 415-426, ISBN 978-3-030-36682-7
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-36683-4_34

Privacy Risk for Individual Basket Patterns

Autoren: Roberto Pellungrini, Anna Monreale, Riccardo Guidotti
Veröffentlicht in: ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Ausgabe 11054, 2019, Seite(n) 141-155, ISBN 978-3-030-13462-4
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-13463-1_11

Constraint Programming-Based Job Dispatching for Modern HPC Applications

Autoren: Cristian Galleguillos, Zeynep Kiziltan, Alina Sîrbu, Ozalp Babaoglu
Veröffentlicht in: Principles and Practice of Constraint Programming - 25th International Conference, CP 2019, Stamford, CT, USA, September 30 – October 4, 2019, Proceedings, Ausgabe 11802, 2019, Seite(n) 438-455, ISBN 978-3-030-30047-0
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-30048-7_26

Online Fault Classification in HPC Systems Through Machine Learning

Autoren: Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
Veröffentlicht in: Euro-Par 2019: Parallel Processing - 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, August 26–30, 2019, Proceedings, Ausgabe 11725, 2019, Seite(n) 3-16, ISBN 978-3-030-29399-4
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-29400-7_1

Integration of Syrian Refugees: Insights from D4R, Media Events and Housing Market Data

Autoren: Simone Bertoli, Paolo Cintia, Fosca Giannotti, Etienne Madinier, Caglar Ozden, Michael Packard, Dino Pedreschi, Hillel Rapoport, Alina Sîrbu, Biagio Speciale
Veröffentlicht in: Guide to Mobile Data Analytics in Refugee Scenarios - The 'Data for Refugees Challenge' Study, 2019, Seite(n) 179-199, ISBN 978-3-030-12553-0
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-12554-7_10

Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers

Autoren: Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi
Veröffentlicht in: Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I, Ausgabe 11439, 2019, Seite(n) 55-68, ISBN 978-3-030-16147-7
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-16148-4_5

Analyzing Privacy Risk in Human Mobility Data

Autoren: Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale
Veröffentlicht in: Software Technologies: Applications and Foundations - STAF 2018 Collocated Workshops, Toulouse, France, June 25-29, 2018, Revised Selected Papers, Ausgabe 11176, 2018, Seite(n) 114-129, ISBN 978-3-030-04770-2
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-04771-9_10

On the Equivalence Between Community Discovery and Clustering

Autoren: Riccardo Guidotti, Michele Coscia
Veröffentlicht in: Smart Objects and Technologies for Social Good, Ausgabe 233, 2018, Seite(n) 342-352, ISBN 978-3-319-76110-7
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-76111-4_34

Personal Analytics and Privacy. An Individual and Collective Perspective

Autoren: Riccardo Guidotti, Anna Monreale, Dino Pedreschi, Serge Abiteboul
Veröffentlicht in: Lecture Notes in Computer Science, 2017, ISBN 978-3-319-71970-2
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-71970-2

A Novel Approach to Evaluate Community Detection Algorithms on Ground Truth

Autoren: Giulio Rossetti, Luca Pappalardo, Salvatore Rinzivillo
Veröffentlicht in: 2016, Seite(n) 133-144
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-30569-1_10

Cashtag piggybacking: uncovering spam and bot activity in stock microblogs on Twitter

Autoren: Cresci, Stefano; Lillo, Fabrizio; Regoli, Daniele; Tardelli, Serena; Tesconi, Maurizio
Veröffentlicht in: Ausgabe 2, 2018
Herausgeber: Cornell University Library

From acquaintance to best friend forever: robust and fine-grained inference of social tie strengths

Autoren: Adriaens, Florian; De Bie, Tijl; Gionis, Aristides; Lijffijt, Jefrey; Rozenshtein, Polina
Veröffentlicht in: Ausgabe 2, 2018
Herausgeber: arxiv.org

A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market

Autoren: Mazzarisi, Piero; Barucca, Paolo; Lillo, Fabrizio; Tantari, Daniele
Veröffentlicht in: Ausgabe 3, 2017
Herausgeber: arxiv.org

Generalized Network Dismantling

Autoren: Ren, Xiao-Long; Gleinig, Niels; Helbing, Dirk; Antulov-Fantulin, Nino
Veröffentlicht in: Ausgabe 3, 2018
Herausgeber: arxiv

Characterizing Fan Behavior to Study Para Social Breakups

Autoren: Garimella, Kiran; Cohen, Jonathan; Weber, Ingmar
Veröffentlicht in: Ausgabe 3, 2017
Herausgeber: arxiv.org

Uncovering intimate and casual relationships from mobile phone communication.

Autoren: Kunal Bhattacharya, Daniel Monsivais and Kimmo Kaski (Aalto University), Mikaela Fudolig and Hang Hyun Jo (Asia Pacific Center for Theoretical Physics)
Veröffentlicht in: 2018
Herausgeber: arxiv.org

PlayeRank: Multi-dimensional and role-aware rating of soccer player performance

Autoren: L. Pappalardo, P. Cintia, P. Ferragina, E. Massucco, D. Pedreschi, F. Giannotti
Veröffentlicht in: 2018
Herausgeber: arxiv.org

Prediction of next career moves from scientific profiles

Autoren: Charlotte James, Luca Pappalardo, Alina Sirbu, and Filippo Simini
Veröffentlicht in: 2018
Herausgeber: arxiv.org

PRUDEnce: a System for Assessing Privacy Risk vs Utility in Data Sharing Ecosystems

Autoren: Francesca Pratesi, Anna Monreale, Roberto Trasarti, Fosca Giannotti, Dino Pedreschi, Tadashi Yanagihara
Veröffentlicht in: 2018
Herausgeber: Transactions on Data Privacy

RumourEval 2019: Determining Rumour Veracity and Support for Rumours

Autoren: Gorrell, Genevieve; Bontcheva, Kalina; Derczynski, Leon; Kochkina, Elena; Liakata, Maria; Zubiaga, Arkaitz
Veröffentlicht in: Ausgabe 5, 2019
Herausgeber: ArXiv

Harnessing the Social Sensing revolution: Challenges and Opportunities

Autoren: Stefano Cresci
Veröffentlicht in: 2018
Herausgeber: University of Pisa, Italy

Detectability of ranking hierarchies in directed networks

Autoren: Elisa Letizia, Paolo Barucca, Fabrizio Lillo
Veröffentlicht in: arXiv.org e-Print archive, 2016, ISSN 2331-8422
Herausgeber: Cornell University

The Ebb and Flow of Controversial Debates on Social Media

Autoren: Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
Veröffentlicht in: arXiv.org e-Print archive, 2017, ISSN 2331-8422
Herausgeber: Cornell University

Time augmented bond percolation mapping of spreading dynamics on networks

Autoren: Nino Antulov-Fantulin, Dijana Tolic
Veröffentlicht in: arXiv.org e-Print archive, 2016, ISSN 2331-8422
Herausgeber: Cornell University

PRUDEnce: A system for assessing privacy risk vs utility in data sharing ecosystems

Autoren: Pratesi, Francesca; Monreale, Anna; Trasarti, Roberto; Giannotti, Fosca; Pedreschi, Dino; Yanagihara, Tadashi
Veröffentlicht in: Transactions on Data Privacy 2018, Ausgabe 5, 2018, ISSN 1888-5063
Herausgeber: Institut d'Investigacio en Intel-ligencia Artificial - Consejo Superior Investigaciones Cientificas (IIIA-CSIC)

Suche nach OpenAIRE-Daten ...

Bei der Suche nach OpenAIRE-Daten ist ein Fehler aufgetreten

Es liegen keine Ergebnisse vor