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SoBigData Research Infrastructure

Risultati finali

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.

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Pubblicazioni

Factors in Recommending Contrarian Content on Social Media

Autori: Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
Pubblicato in: Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Page(s) 263-266, ISBN 9781-450348966
Editore: ACM Press
DOI: 10.1145/3091478.3091515

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

Autori: Frederick Ayala-Gómez, Bálint Daróczy, Michael Mathioudakis, András Benczúr, Aristides Gionis
Pubblicato in: Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Page(s) 93-102, ISBN 9781-450348966
Editore: ACM Press
DOI: 10.1145/3091478.3091485

Finding topical experts in Twitter via query-dependent personalized PageRank

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

The Effect of Collective Attention on Controversial Debates on Social Media

Autori: Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
Pubblicato in: Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Page(s) 43-52, ISBN 9781-450348966
Editore: ACM Press
DOI: 10.1145/3091478.3091486

Active Network Alignment - A Matching-Based Approach

Autori: Eric Malmi, Aristides Gionis, Evimaria Terzi
Pubblicato in: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17, 2017, Page(s) 1687-1696, ISBN 9781-450349185
Editore: ACM Press
DOI: 10.1145/3132847.3132983

The network-untangling problem

Autori: Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis
Pubblicato in: 2017, Page(s) 701-716
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-71249-9_42

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

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

Human Perception of Performance

Autori: Luca Pappalardo, Paolo Cintia, Dino Pedreschi, Fosca Giannotti, Albert-Laszlo Barabasi
Pubblicato in: 2017
Editore: Cornell University Library

Balancing information exposure in social networks

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

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

Autori: A. Rossi, L. Pappalardo, P. Cintia, J. Fernandez, M. F. Iaia, D. Medina
Pubblicato in: MLSA@PKDD/ECML, 2017
Editore: MLSA@PKDD/ECML

On the Equivalence Between Community Discovery and Clustering

Autori: R. Guidotti, M. Coscia
Pubblicato in: International Conference on Smart Objects and Technologies for Social Good GOODTECHS 2017: Smart Objects and Technologies for Social Good, 2018
Editore: Springer

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

Autori: Emina Boudemagh, Izabela Moise
Pubblicato in: Eleventh International AAAI Conference on Web and Social Media, 2017
Editore: AAAI Press

The Fractal Dimension of Music

Autori: Laura Pollacci, Riccardo Guidotti, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi
Pubblicato in: 2017, Page(s) 183-194
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-76111-4_19

Clustering Individual Transactional Data for Masses of Users

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

Market Basket Prediction Using User-Centric Temporal Annotated Recurring Sequences

Autori: Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi
Pubblicato in: 2017 IEEE International Conference on Data Mining (ICDM), 2017, Page(s) 895-900, ISBN 978-1-5386-3835-4
Editore: IEEE
DOI: 10.1109/ICDM.2017.111

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

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

Early Signals of Trending Rumor Event in Streaming Social Media

Autori: Shihan Wang, Izabela Moise, Dirk Helbing, Takao Terano
Pubblicato in: 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), 2017, Page(s) 654-659, ISBN 978-1-5386-0367-3
Editore: IEEE
DOI: 10.1109/COMPSAC.2017.115

Sensing and Mining Urban Qualities in Smart Cities

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

Recommender Systems for Banking and Financial Services

Autori: Andrea Gigli, Fabrizio Lillo, Daniele Regoli
Pubblicato in: RecSys ACM, 2017
Editore: ACM

Data-Driven Job Dispatching in HPC Systems

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

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

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

Twitter and the Press - an Ego-Centred Analysis

Autori: Chiara Boldrini, Mustafa Toprak, Marco Conti, Andrea Passarella
Pubblicato in: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018, Page(s) 1471-1478, ISBN 9781-450356404
Editore: ACM Press
DOI: 10.1145/3184558.3191596

Social Physics: Uncovering Human Behaviour from Communication

Autori: Bhattacharya, Kunal; Kaski, Kimmo
Pubblicato in: Cornell University Library, 2, 2018
Editore: Cornell University Library

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

Autori: Eric Malmi, Aristides Gionis, Arno Solin
Pubblicato in: Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018, Page(s) 883-892, ISBN 9781-450356398
Editore: ACM Press
DOI: 10.1145/3178876.3186136

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

Autori: Pescosolido, Loreto; Conti, Marco; Passarella, Andrea
Pubblicato in: 2, 2018
Editore: arxiv

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

Autori: Preethi Lahoti, Kiran Garimella, Aristides Gionis
Pubblicato in: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18, 2018, Page(s) 351-359, ISBN 9781-450355810
Editore: ACM Press
DOI: 10.1145/3159652.3159669

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

Autori: Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
Pubblicato in: Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018, Page(s) 913-922, ISBN 9781-450356398
Editore: ACM Press
DOI: 10.1145/3178876.3186139

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

Autori: Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin
Pubblicato in: 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018, Page(s) 1289-1293, ISBN 978-1-5386-9288-2
Editore: IEEE
DOI: 10.1109/icdmw.2018.00183

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

Autori: Kiran Garimella, Orestis Kostakis, Michael Mathioudakis
Pubblicato in: Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Page(s) 259-262, ISBN 9781-450348966
Editore: ACM Press
DOI: 10.1145/3091478.3091514

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

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

A Motif-based Approach for Identifying Controversy

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

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

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

Finding low-tension communities

Autori: Esther Galbrun, Behzad Golshan, Aristides Gionis, Evimaria Terzi
Pubblicato in: Proceedings of the 2017 SIAM International Conference on Data Mining, 2017, Page(s) 336-344
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611974973.38

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

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

On the Behaviour of Deviant Communities in Online Social Networks

Autori: Coletto, Mauro; Aiello, Luca Maria; Lucchese, Claudio; Silvestri, Fabrizio
Pubblicato in: ICWSM, 3, 2016
Editore: ICWSM

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

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

Discovering Topically- and Temporally-Coherent Events in Interaction Networks

Autori: Han Xiao, Polina Rozenshtein, Aristides Gionis
Pubblicato in: Joint European Conference on Machine Learning and Knowledge Discovery in Databases ECML PKDD 2016, 2016, Page(s) 690-705
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-46227-1_43

Information Diffusion in Complex Networks: The Active/Passive Conundrum

Autori: Letizia Milli, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti
Pubblicato in: International Conference on Complex Networks and their Applications COMPLEX NETWORKS 2017, 2017, Page(s) 305-313
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-72150-7_25

NDlib: Studying Network Diffusion Dynamics

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

Reconstructing a cascade from temporal

Autori: Han Xiao, Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis
Pubblicato in: SIAM International Conference on Data Mining, 2018, Page(s) 666-674
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611975321.75

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

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

Fast Estimation of Privacy Risk in Human Mobility

Autori: Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale
Pubblicato in: International Conference on Computer Safety, Reliability, and Security SAFECOMP 2017: Computer Safety, Reliability, and Security, 2017, Page(s) 415-426
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-66284-8_35

Social Media Image Recognition for Food Trend Analysis

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

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

Autori: Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
Pubblicato in: The Web Conference (WWW), 2018
Editore: Arxiv.org

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

Autori: Antonis Matakos, Aristides Gionis
Pubblicato in: ICDM, 2018
Editore: icdm2018.org

Robust cascade reconstruction by Steiner-tree sampling

Autori: Hax Xiao, Cigdem Aslay, Aristides Gionis
Pubblicato in: 2018
Editore: ICDM.org

Maximizing the Diversity of Exposure in a Social Network

Autori: Cigdem Aslay, Antonis Matakos, Esther Galbrun, Aristides Gionis
Pubblicato in: 2018 IEEE International Conference on Data Mining (ICDM), 2018, Page(s) 863-868, ISBN 978-1-5386-9159-5
Editore: IEEE
DOI: 10.1109/icdm.2018.00102

Explainable time series tweaking via irreversible and reversible temporal transformations

Autori: Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, and Aristides Gionis
Pubblicato in: ICDM 2018, 2018
Editore: ICDM:ORG

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

Autori: Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, Nikolaj Tatti
Pubblicato in: 2018 IEEE International Conference on Data Mining (ICDM), 2018, Page(s) 397-406, ISBN 978-1-5386-9159-5
Editore: IEEE
DOI: 10.1109/icdm.2018.00055

Real-World Witness Detection in Social Media via Hybrid Crowdsensing

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

Selective Gradient Boosting for Effective Learning to Rank

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

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

Autori: Stefano Cresci, Fabrizio Lillo, Daniele Regoli, Serena Tardelli, Maurizio Tesconi
Pubblicato in: ICWSM, 2018
Editore: ICWSM

Heterogeneity-Aware Resource Allocation

Autori: Alessio Netti, Cristian Galleguillos, Zeynep Kiziltan, Alina Sîrbu, Ozalp Babaoglu
Pubblicato in: 2018, Page(s) 3-21
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-92040-5_1

Cognified Distributed Computing

Autori: Ozalp Babaoglu, Alina Sirbu
Pubblicato in: 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018, Page(s) 1180-1191, ISBN 978-1-5386-6871-9
Editore: IEEE
DOI: 10.1109/ICDCS.2018.00118

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

Autori: Genevieve Gorrell, Ian Roberts, Mark A. Greenwood, Mehmet E. Bakir, Benedetta Iavarone, Kalina Bontcheva
Pubblicato in: SocInfo 2018, 2018, Page(s) 274-290
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-01129-1_17

Investigating Similarity of Nodes' Attributes in Topological Based Communities.

Autori: Rajesh Sharma, Danilo Montesi
Pubblicato in: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018, Page(s) 1253-1260, ISBN 9781-450356404
Editore: ACM Press
DOI: 10.1145/3184558.3191564

Individual-Level Social Capital in Weighted and Attributed Social Networks

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

Diffusive Phenomena in Dynamic Networks: A Data-Driven Study

Autori: Letizia Milli, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti
Pubblicato in: International Workshop on Complex Networks CompleNet 2018, 2018, Page(s) 151-159
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-73198-8_13

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

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

Discovering Mobility Functional Areas

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

Privacy preserving multidimensional profiling

Autori: Francesca Pratesi, Anna Monreale, Fosca Giannotti, Dino Pedreschi
Pubblicato in: 2018, Page(s) 142-152
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-76111-4_15

A Deep Neural Network Sentence Level Classification Method with Context Information

Autori: Xingyi Song, Johann Petrak, Angus Roberts
Pubblicato in: Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Editore: EMNLP 2018

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

Autori: Sîrbu, Alina; Babaoglu, Ozalp
Pubblicato in: European Conference on Parallel Processing Euro-Par 2016, 1, 2016
Editore: Springer
DOI: 10.1007/978-3-319-43659-3_9

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

Autori: Ahmet Aker, Arkaitz Zubiaga, Kalina Bontcheva, Anna Kolliakou, Rob Procter, Maria Liakata
Pubblicato in: International Conference on Social Informatics SocInfo 2017, 2017, Page(s) 53-64
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-67256-4_6

A Two-Stage Framework for Computing Entity Relatedness in Wikipedia

Autori: Marco Ponza, Paolo Ferragina, Soumen Chakrabarti
Pubblicato in: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17, 2017, Page(s) 1867-1876, ISBN 9781-450349185
Editore: ACM Press
DOI: 10.1145/3132847.3132890

Post-Learning Optimization of Tree Ensembles for Efficient Ranking

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

Fast Feature Selection for Learning to Rank

Autori: Andrea Gigli, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego
Pubblicato in: Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval - ICTIR '16, 2016, Page(s) 167-170, ISBN 9781-450344975
Editore: ACM Press
DOI: 10.1145/2970398.2970433

Learning to Rank User Queries to Detect Search Tasks

Autori: Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Gabriele Tolomei
Pubblicato in: Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval - ICTIR '16, 2016, Page(s) 157-166, ISBN 9781-450344975
Editore: ACM Press
DOI: 10.1145/2970398.2970407

Privacy-Preserving Outsourcing of Data Mining

Autori: Anna Monreale, Wendy Hui Wang
Pubblicato in: 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), 2016, Page(s) 583-588, ISBN 978-1-4673-8845-0
Editore: IEEE
DOI: 10.1109/compsac.2016.169

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

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

Hypothesis Transfer Learning for Efficient Data Computing in Smart Cities Environments

Autori: Lorenzo Valerio, Andrea Passarella, Marco Conti
Pubblicato in: 2016 IEEE International Conference on Smart Computing (SMARTCOMP), 2016, Page(s) 1-8, ISBN 978-1-5090-0898-8
Editore: 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

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

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

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

Behavioral entropy and profitability in retail

Autori: Riccardo Guidotti, Michele Coscia, Dino Pedreschi, Diego Pennacchioli
Pubblicato in: 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2015, Page(s) 1-10, ISBN 978-1-4673-8272-4
Editore: IEEE
DOI: 10.1109/dsaa.2015.7344821

Analyzing web archives through topic and event focused sub-collections

Autori: Demidova, Elena; Risse, Thomas; Gossen, Gerhard
Pubblicato in: Proceedings of the 8th ACM Conference on Web Science - WebSci '16, 2016, Page(s) 291--295
Editore: ACM
DOI: 10.1145/2908131.2908175

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

Autori: Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Salvatore Rinzivillo, Hans-Dieter Betz
Pubblicato in: 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2015, Page(s) 1-10, ISBN 978-1-4673-8272-4
Editore: IEEE
DOI: 10.1109/DSAA.2015.7344880

Fast and Compact Hamming Distance Index

Autori: Simon Gog, Rossano Venturini
Pubblicato in: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16, 2016, Page(s) 285-294, ISBN 9781-450340694
Editore: ACM Press
DOI: 10.1145/2911451.2911523

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

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

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

Autori: Lorenzo Cazzoli, Rajesh Sharma, Michele Treccani, Fabrizio Lillo
Pubblicato in: 2016 Third European Network Intelligence Conference (ENIC), 2016, Page(s) 98-105, ISBN 978-1-5090-3455-0
Editore: IEEE
DOI: 10.1109/ENIC.2016.022

Reducing Controversy by Connecting Opposing Views

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

Extracting Skill Endorsements from Personal Communication Data

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

Reconstructing an Epidemic Over Time

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

Quantifying Controversy in Social Media

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

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

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

Tracking Language Mobility in the Twitter Landscape

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

The technical hashtag in Twitter data: A hadoop experience

Autori: Izabela Moise
Pubblicato in: 2016 IEEE International Conference on Big Data (Big Data), 2016, Page(s) 3519-3528, ISBN 978-1-4673-9005-7
Editore: IEEE
DOI: 10.1109/BigData.2016.7841015

Community-aware network sparsifications

Autori: Aristides Gionis, Polina Rozenshtein, Nikolaj Tatti, Evimaria Terzi
Pubblicato in: SIAM International Conference on Data Mining, 2016, Page(s) 426-434
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611974973.48

AncestryAI - A Tool for Exploring Computationally Inferred Family Trees

Autori: Eric Malmi, Marko Rasa, Aristides Gionis
Pubblicato in: Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion, 2017, Page(s) 257-261, ISBN 9781-450349147
Editore: ACM Press
DOI: 10.1145/3041021.3054728

Media Attention to Science

Autori: Kiran Garimella, Han Xiao
Pubblicato in: Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion, 2017, Page(s) 779-780, ISBN 9781-450349147
Editore: ACM Press
DOI: 10.1145/3041021.3054215

Understanding International Migration using Tensor Factorization

Autori: Hieu Nguyen, Kiran Garimella
Pubblicato in: Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Editore: ACM

Discovering the Network Backbone from Traffic Activity Data

Autori: Sanjay Chawla, Kiran Garimella, Aristides Gionis, Dominic Tsang
Pubblicato in: Advances in Knowledge Discovery and Data Mining, 2016, Page(s) 409-422
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-31753-3_33

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

Autori: Kiran Garimella, Ingmar Weber, Munmun De Choudhury
Pubblicato in: Proceedings of the 8th ACM Conference on Web Science - WebSci '16, 2016, Page(s) 200-204, ISBN 9781-450342087
Editore: ACM Press
DOI: 10.1145/2908131.2908170

Social Media Image Analysis for Public Health

Autori: Venkata Rama Kiran Garimella, Abdulrahman Alfayad, Ingmar Weber
Pubblicato in: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI '16, 2016, Page(s) 5543-5547, ISBN 9781-450333627
Editore: ACM Press
DOI: 10.1145/2858036.2858234

Mining social interactions in privacy-preserving temporal networks

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

SEL - A Unified Algorithm for Entity Linking and Saliency Detection

Autori: Salvatore Trani, Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego
Pubblicato in: Proceedings of the 2016 ACM Symposium on Document Engineering - DocEng '16, 2016, Page(s) 85-94, ISBN 9781-450344388
Editore: ACM Press
DOI: 10.1145/2960811.2960819

Predicting system-level power for a hybrid supercomputer

Autori: Alina Sirbu, Ozalp Babaoglu
Pubblicato in: 2016 International Conference on High Performance Computing & Simulation (HPCS), 2016, Page(s) 826-833, ISBN 978-1-5090-2088-1
Editore: IEEE
DOI: 10.1109/HPCSim.2016.7568420

Maximum entropy approach to link prediction in bipartite networks

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

SCube: A Tool for Segregation Discovery

Autori: Alessandro Baroni, Salvatore Ruggieri
Pubblicato in: 2019
Editore: EDBT19
DOI: 10.5441/002/edbt.2019.51

Semantically-Aware Statistical Metrics via Weighting Kernels

Autori: Stefano Cresci, Roberto Di Pietro, Maurizio Tesconi
Pubblicato in: 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2019, Page(s) 51-60, ISBN 978-1-7281-4493-1
Editore: IEEE DSAA
DOI: 10.1109/dsaa.2019.00019

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

Autori: Stefano Cresci
Pubblicato in: 2019
Editore: MISDOOM'19

Statistical embedding for directed graphs

Autori: Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin
Pubblicato in: 2019
Editore: ArXiv

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

Autori: Ye Jiang, Johann Petrak, Xingyi Song, Kalina Bontcheva, Diana Maynard
Pubblicato in: Proceedings of the 13th International Workshop on Semantic Evaluation, 2019, Page(s) 840-844
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/s19-2146

Exploring Interpretable LSTM Neural Networks over Multi-Variable Data

Autori: Tian Guo, Tao Lin, Nino Antulov-Fantulin
Pubblicato in: 2019
Editore: ICML 2019

Sensing Social Media Signals for Cryptocurrency News

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

Node Representation Learning for Directed Graphs

Autori: Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand
Pubblicato in: 2019
Editore: ECMLPKDD 2019

Asynchronous Training of Word Embeddings for Large Text Corpora

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

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

Autori: Snellman, Jan E.; Barrio, Rafael; Kaski, Kimmo
Pubblicato in: 5, 2019
Editore: ArXiv

LEARning Next gEneration Rankers (LEARNER 2017)

Autori: Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
Pubblicato in: Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '17, 2017, Page(s) 331-332, ISBN 9781-450344906
Editore: ACM Press
DOI: 10.1145/3121050.3121110

Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders

Autori: Tian Guo, Albert Bifet, Nino Antulov-Fantulin
Pubblicato in: 2018 IEEE International Conference on Data Mining (ICDM), 2018, Page(s) 989-994, ISBN 978-1-5386-9159-5
Editore: IEEE
DOI: 10.1109/ICDM.2018.00123

QUANTIFYING THE RELATION BETWEEN PERFORMANCE AND SUCCESS IN SOCCER

Autori: LUCA PAPPALARDO, PAOLO CINTIA
Pubblicato in: Advances in Complex Systems, 21/03n04, 2018, Page(s) 1750014, ISSN 0219-5259
Editore: World Scientific Publishing Co
DOI: 10.1142/S021952591750014X

Simulating SIR processes on networks using weighted shortest paths

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

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

Autori: Bhattacharya, Kunal; Takko, Tuomas; Monsivais, Daniel; Kaski, Kimmo
Pubblicato in: Journal of the Royal Society Interface, 2, 2018, ISSN 1742-5662
Editore: Journal of the Royal Society Interface

A Survey of Methods for Explaining Black Box Models

Autori: Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini, Fosca Giannotti, Dino Pedreschi
Pubblicato in: ACM Computing Surveys, 51/5, 2018, Page(s) 1-42, ISSN 0360-0300
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3236009

Detection and Resolution of Rumours in Social Media

Autori: Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva, Maria Liakata, Rob Procter
Pubblicato in: ACM Computing Surveys, 51/2, 2018, Page(s) 1-36, ISSN 0360-0300
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3161603

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

Autori: Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sîrbu, Dino Pedreschi, Fosca Giannotti
Pubblicato in: International Journal of Data Science and Analytics, 5/1, 2018, Page(s) 61-79, ISSN 2364-4168
Editore: Springer
DOI: 10.1007/s41060-017-0086-6

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

Autori: Dijana Tolić, Nino Antulov-Fantulin, Ivica Kopriva
Pubblicato in: Pattern Recognition, 82, 2018, Page(s) 40-55, ISSN 0031-3203
Editore: Pergamon Press
DOI: 10.1016/j.patcog.2018.04.029

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

Autori: Giulio Rossetti, Letizia Milli, Fosca Giannotti, Dino Pedreschi
Pubblicato in: PLOS ONE, 12/12, 2017, Page(s) e0189096, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0189096

Underestimated Cost of Targeted Attacks on Complex Networks

Autori: Xiao-Long Ren, Niels Gleinig, Dijana Tolić, Nino Antulov-Fantulin
Pubblicato in: Complexity, 2018, 2018, Page(s) 1-15, ISSN 1076-2787
Editore: John Wiley & Sons Inc.
DOI: 10.1155/2018/9826243

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

Autori: Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi, Maurizio Tesconi
Pubblicato in: IEEE Transactions on Dependable and Secure Computing, 2018, Page(s) 1-1, ISSN 1545-5971
Editore: IEEE Computer Society
DOI: 10.1109/TDSC.2017.2681672

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

Autori: Darko Hric, Kimmo Kaski, Mikko Kivelä
Pubblicato in: Journal of Informetrics, 12/3, 2018, Page(s) 757-783, ISSN 1751-1577
Editore: Elsevier BV
DOI: 10.1016/j.joi.2018.05.004

Resolution of ranking hierarchies in directed networks

Autori: Elisa Letizia, Paolo Barucca, Fabrizio Lillo
Pubblicato in: PLOS ONE, 13/2, 2018, Page(s) e0191604, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0191604

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

Autori: Giulio Rossetti
Pubblicato in: Journal of Complex Networks, 5/6, 2017, Page(s) 893-912, ISSN 2051-1310
Editore: Oxfors Academic
DOI: 10.1093/comnet/cnx016

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

Autori: Giulio Rossetti, Dino Pedreschi, Fosca Giannotti
Pubblicato in: Online Social Networks and Media, 3-4, 2017, Page(s) 32-48, ISSN 2468-6964
Editore: Elsevier
DOI: 10.1016/j.osnem.2017.10.003

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

Autori: Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso
Pubblicato in: Online Social Networks and Media, 1, 2017, Page(s) 14-32, ISSN 2468-6964
Editore: Elsevier
DOI: 10.1016/j.osnem.2017.03.001

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

Autori: Talayeh Aledavood, Ana Maria Triana Hoyos, Tuomas Alakörkkö, Kimmo Kaski, Jari Saramäki, Erkki Isometsä, Richard K Darst
Pubblicato in: JMIR Research Protocols, 6/6, 2017, Page(s) e110, ISSN 1929-0748
Editore: JMIR Publications
DOI: 10.2196/resprot.6919

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

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

X-CLE a VER

Autori: Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani
Pubblicato in: ACM Transactions on Intelligent Systems and Technology, 9/6, 2018, Page(s) 1-26, ISSN 2157-6904
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3205453

Gravity and scaling laws of city to city migration

Autori: Rafael Prieto Curiel, Luca Pappalardo, Lorenzo Gabrielli, Steven Richard Bishop
Pubblicato in: PLOS ONE, 13/7, 2018, Page(s) e0199892, ISSN 1932-6203
Editore: 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

Autori: Valerio Grossi, Beatrice Rapisarda, Fosca Giannotti, Dino Pedreschi
Pubblicato in: International Journal of Data Science and Analytics, 6/3, 2018, Page(s) 205-216, ISSN 2364-415X
Editore: Springer
DOI: 10.1007/s41060-018-0126-x

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

Autori: Alessio Rossi, Luca Pappalardo, Paolo Cintia, F. Marcello Iaia, Javier Fernàndez, Daniel Medina
Pubblicato in: PLOS ONE, 13/7, 2018, Page(s) e0201264, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0201264

Discovering temporal regularities in retail customers’ shopping behavior

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

Data Abstraction for Visualizing Large Time Series

Autori: G. Shurkhovetskyy, N. Andrienko, G. Andrienko, G. Fuchs
Pubblicato in: Computer Graphics Forum, 37/1, 2018, Page(s) 125-144, ISSN 0167-7055
Editore: Blackwell Publishing Inc.
DOI: 10.1111/cgf.13237

The Electric City as a Solution to Sustainable Urban Development

Autori: Iain D. Stewart, Chris A. Kennedy, Angelo Facchini, Renata Mele
Pubblicato in: Journal of Urban Technology, 25/1, 2018, Page(s) 3-20, ISSN 1063-0732
Editore: Carfax Publishing Ltd.
DOI: 10.1080/10630732.2017.1386940

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

Autori: Mario Mureddu, Angelo Facchini, Antonio Scala, Guido Caldarelli, Alfonso Damiano
Pubblicato in: Scientific Reports, 8/1, 2018, ISSN 2045-2322
Editore: 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

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

Entropy-based approach to missing-links prediction

Autori: Federica Parisi, Guido Caldarelli, Tiziano Squartini
Pubblicato in: Applied Network Science, 3/1, 2018, ISSN 2364-8228
Editore: Springer
DOI: 10.1007/s41109-018-0073-4

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

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

Reconstructing Mesoscale Network Structures

Autori: Jeroen van Lidth de Jeude, Riccardo Di Clemente, Guido Caldarelli, Fabio Saracco, Tiziano Squartini
Pubblicato in: Complexity, 2019, 2019, Page(s) 1-13, ISSN 1076-2787
Editore: 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

Autori: Paolo Barucca, Fabrizio Lillo
Pubblicato in: Computational Management Science, 15/1, 2018, Page(s) 33-53, ISSN 1619-697X
Editore: Springer Verlag
DOI: 10.1007/s10287-017-0293-6

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

Autori: Fulvio Corsi, Fabrizio Lillo, Davide Pirino, Luca Trapin
Pubblicato in: Journal of Financial Stability, 38, 2018, Page(s) 18-36, ISSN 1572-3089
Editore: Elsevier BV
DOI: 10.1016/j.jfs.2018.06.003

Colombian Export Capabilities: Building the Firms-Products Network

Autori: Matteo Bruno, Fabio Saracco, Tiziano Squartini, Marco Dueñas
Pubblicato in: Entropy, 20/10, 2018, Page(s) 785, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e20100785

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

Autori: Domenico Di Gangi, Fabrizio Lillo, Davide Pirino
Pubblicato in: Journal of Economic Dynamics and Control, 94, 2018, Page(s) 117-141, ISSN 0165-1889
Editore: Elsevier BV
DOI: 10.1016/j.jedc.2018.07.001

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

Autori: Alina Sîrbu, Ozalp Babaoglu
Pubblicato in: Concurrency and Computation: Practice and Experience, 30/9, 2018, Page(s) e4410, ISSN 1532-0626
Editore: John Wiley & Sons Inc.
DOI: 10.1002/cpe.4410

Simulating SIR processes on networks using weighted shortest paths

Autori: Dijana Tolić, Kaj-Kolja Kleineberg, Nino Antulov-Fantulin
Pubblicato in: Scientific Reports, 8/1, 2018, ISSN 2045-2322
Editore: 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

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

Community Discovery in Dynamic Networks

Autori: Giulio Rossetti, Rémy Cazabet
Pubblicato in: ACM Computing Surveys, 51/2, 2018, Page(s) 1-37, ISSN 0360-0300
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3172867

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

Autori: Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale
Pubblicato in: ACM Transactions on Intelligent Systems and Technology, 9/3, 2018, Page(s) 1-27, ISSN 2157-6904
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3106774

A framework for real-time semantic social media analysis

Autori: Diana Maynard, Ian Roberts, Mark A. Greenwood, Dominic Rout, Kalina Bontcheva
Pubblicato in: Web Semantics: Science, Services and Agents on the World Wide Web, 44, 2017, Page(s) 75-88, ISSN 1570-8268
Editore: Elsevier BV
DOI: 10.1016/j.websem.2017.05.002

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

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

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

Autori: Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi, Maurizio Tesconi
Pubblicato in: IEEE Intelligent Systems, 31/5, 2016, Page(s) 58-64, ISSN 1541-1672
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mis.2016.29

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

Autori: Fabio Saracco, Mika J Straka, Riccardo Di Clemente, Andrea Gabrielli, Guido Caldarelli, Tiziano Squartini
Pubblicato in: New Journal of Physics, 19/5, 2017, Page(s) 053022, ISSN 1367-2630
Editore: Institute of Physics Publishing
DOI: 10.1088/1367-2630/aa6b38

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

Autori: Gabriele Capannini, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto
Pubblicato in: Information Processing & Management, 52/6, 2016, Page(s) 1161-1177, ISSN 0306-4573
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.ipm.2016.05.004

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

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

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

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

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

Autori: Valerio Arnaboldi, Marco Conti, Andrea Passarella, Robin I.M. Dunbar
Pubblicato in: Online Social Networks and Media, 1, 2017, Page(s) 44-55, ISSN 2468-6964
Editore: Elsevier
DOI: 10.1016/j.osnem.2017.04.001

A communication efficient distributed learning framework for smart environments

Autori: Lorenzo Valerio, Andrea Passarella, Marco Conti
Pubblicato in: Pervasive and Mobile Computing, 41, 2017, Page(s) 46-68, ISSN 1574-1192
Editore: Elsevier BV
DOI: 10.1016/j.pmcj.2017.07.014

MyWay: Location prediction via mobility profiling

Autori: R. Trasarti, R. Guidotti, A. Monreale, F. Giannotti
Pubblicato in: Information Systems, 64, 2017, Page(s) 350-367, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2015.11.002

Exploiting Spatial Abstraction in Predictive Analytics of Vehicle Traffic

Autori: Natalia Andrienko, Gennady Andrienko, Salvatore Rinzivillo
Pubblicato in: ISPRS International Journal of Geo-Information, 4/2, 2015, Page(s) 591-606, ISSN 2220-9964
Editore: MDPI AG
DOI: 10.3390/ijgi4020591

Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics

Autori: Natalia Andrienko, Gennady Andrienko, Salvatore Rinzivillo
Pubblicato in: Information Systems, 57, 2016, Page(s) 172-194, ISSN 0306-4379
Editore: 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

Autori: Gennady Andrienko, Natalia Andrienko, Georg Fuchs, Jo Wood
Pubblicato in: IEEE Transactions on Visualization and Computer Graphics, 2016, Page(s) 1-1, ISSN 1077-2626
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TVCG.2016.2616404

State Transition Graphs for Semantic Analysis of Movement Behaviours

Autori: Natalia Andrienko, Gennady Andrienko
Pubblicato in: Information Visualization, 2017, Page(s) 147387161769284, ISSN 1473-8716
Editore: Palgrave Macmillan Ltd.
DOI: 10.1177/1473871617692841

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

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

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

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

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

Autori: Luca Pappalardo, Maarten Vanhoof, Lorenzo Gabrielli, Zbigniew Smoreda, Dino Pedreschi, Fosca Giannotti
Pubblicato in: International Journal of Data Science and Analytics, 2/1-2, 2016, Page(s) 75-92, ISSN 2364-415X
Editore: Springer
DOI: 10.1007/s41060-016-0013-2

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

Autori: Luca Pappalardo, Salvatore Rinzivillo, Filippo Simini
Pubblicato in: Procedia Computer Science, 83, 2016, Page(s) 934-939, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2016.04.188

Compressed Cache-Oblivious String B-Tree

Autori: Paolo Ferragina, Rossano Venturini
Pubblicato in: ACM Transactions on Algorithms, 12/4, 2016, Page(s) 1-17, ISSN 1549-6325
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/2903141

Centrality metrics and localization in core-periphery networks

Autori: Paolo Barucca, Daniele Tantari, Fabrizio Lillo
Pubblicato in: Journal of Statistical Mechanics: Theory and Experiment, 2016/2, 2016, Page(s) 023401, ISSN 1742-5468
Editore: Institute of Physics
DOI: 10.1088/1742-5468/2016/02/023401

Clustered Elias-Fano Indexes

Autori: Giulio Ermanno Pibiri, Rossano Venturini
Pubblicato in: ACM Transactions on Information Systems, 36/1, 2017, Page(s) 1-33, ISSN 1046-8188
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3052773

Disentangling bipartite and core-periphery structure in financial networks

Autori: Paolo Barucca, Fabrizio Lillo
Pubblicato in: Chaos, Solitons & Fractals, 88, 2016, Page(s) 244-253, ISSN 0960-0779
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.chaos.2016.02.004

Optimal information diffusion in stochastic block models

Autori: Gianbiagio Curato, Fabrizio Lillo
Pubblicato in: Physical Review E, 94/3, 2016, ISSN 2470-0045
Editore: American Physical Society
DOI: 10.1103/PhysRevE.94.032310

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

Autori: C. Bongiorno, G. Gurtner, F. Lillo, R.N. Mantegna, S. Miccichè
Pubblicato in: Journal of Air Transport Management, 58, 2017, Page(s) 152-163, ISSN 0969-6997
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.jairtraman.2016.10.009

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

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

Modeling Urban Behavior by Mining Geotagged Social Data

Autori: Emre Celikten, Geraud Le Falher, Michael Mathioudakis
Pubblicato in: IEEE Transactions on Big Data, 2016, Page(s) 1-1, ISSN 2332-7790
Editore: IEEE
DOI: 10.1109/TBDATA.2016.2628398

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

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

Network reconstruction via density sampling

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

Self-regulatory information sharing in participatory social sensing

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

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

Autori: Marco Bardoscia, Fabio Caccioli, Juan Ignacio Perotti, Gianna Vivaldo, Guido Caldarelli
Pubblicato in: PLOS ONE, 11/10, 2016, Page(s) e0163825, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0163825

HyWare: a HYbrid Workflow lAnguage for Research E-infrastructures

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

Blockchain inefficiency in the Bitcoin peers network

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

The statistical physics of real-world networks

Autori: Giulio Cimini, Tiziano Squartini, Fabio Saracco, Diego Garlaschelli, Andrea Gabrielli, Guido Caldarelli
Pubblicato in: Nature Reviews Physics, 1/1, 2019, Page(s) 58-71, ISSN 2522-5820
Editore: Nature
DOI: 10.1038/s42254-018-0002-6

Detecting core-periphery structures by surprise

Autori: J. van Lidth de Jeude, G. Caldarelli, T. Squartini
Pubblicato in: EPL (Europhysics Letters), 125/6, 2019, Page(s) 68001, ISSN 1286-4854
Editore: 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

Autori: Sadamori Kojaku, Giulio Cimini, Guido Caldarelli, Naoki Masuda
Pubblicato in: The Journal of Network Theory in Finance, 4/3, 2018, Page(s) 33-51, ISSN 2055-7795
Editore: Journal of Network Theory in Finance
DOI: 10.21314/jntf.2018.044

Multiple structural transitions in interacting networks

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

Entropy-based randomization of rating networks

Autori: Carolina Becatti, Guido Caldarelli, Fabio Saracco
Pubblicato in: Physical Review E, 99/2, 2019, ISSN 2470-0045
Editore: PubMed
DOI: 10.1103/physreve.99.022306

Computational modelling and data-driven techniques for systems analysis

Autori: Stan Matwin, Luca Tesei, Roberto Trasarti
Pubblicato in: Journal of Intelligent Information Systems, 52/3, 2019, Page(s) 473-475, ISSN 0925-9902
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10844-019-00554-z

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

Autori: Lorenzo Valerio, Marco Conti, Andrea Passarella
Pubblicato in: Pervasive and Mobile Computing, 51, 2018, Page(s) 27-42, ISSN 1574-1192
Editore: 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

Autori: Davide Morelli, Alessio Rossi, Massimo Cairo, David A. Clifton
Pubblicato in: Sensors, 19/14, 2019, Page(s) 3163, ISSN 1424-8220
Editore: 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

Autori: Jie Li, Siming Chen, Wei Chen, Gennady Andrienko, Natalia Andrienko
Pubblicato in: IEEE Transactions on Visualization and Computer Graphics, 2019, Page(s) 1-1, ISSN 1077-2626
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvcg.2018.2882449

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

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

Constructing Spaces and Times for Tactical Analysis in Football

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

Generalized network dismantling

Autori: Xiao-Long Ren, Niels Gleinig, Dirk Helbing, Nino Antulov-Fantulin
Pubblicato in: Proceedings of the National Academy of Sciences, 116/14, 2019, Page(s) 6554-6559, ISSN 0027-8424
Editore: National Academy of Sciences
DOI: 10.1073/pnas.1806108116

Holarchic structures for decentralized deep learning: a performance analysis

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

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

Autori: Evangelos Pournaras, Seoho Jung, Srivatsan Yadhunathan, Huiting Zhang, Xingliang Fang
Pubblicato in: Applied Soft Computing, 82, 2019, Page(s) 105573, ISSN 1568-4946
Editore: Elsevier BV
DOI: 10.1016/j.asoc.2019.105573

A machine learning approach to online fault classification in HPC systems

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

Estimating PageRank deviations in crawled graphs

Autori: Helge Holzmann, Avishek Anand, Megha Khosla
Pubblicato in: Applied Network Science, 4/1, 2019, ISSN 2364-8228
Editore: SpringerOpen
DOI: 10.1007/s41109-019-0201-9

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

Autori: Oliver E Williams, Fabrizio Lillo, Vito Latora
Pubblicato in: New Journal of Physics, 21/4, 2019, Page(s) 043028, ISSN 1367-2630
Editore: Institute of Physics Publishing
DOI: 10.1088/1367-2630/ab13fb

Clusters of Investors Around Initial Public Offering

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

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

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

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

Autori: Antonio Scala, Angelo Facchini, Umberto Perna, Riccardo Basosi
Pubblicato in: Energy Policy, 125, 2019, Page(s) 154-159, ISSN 0301-4215
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.enpol.2018.10.034

PRIMULE: Privacy risk mitigation for user profiles

Autori: Francesca Pratesi, Lorenzo Gabrielli, Paolo Cintia, Anna Monreale, Fosca Giannotti
Pubblicato in: Data & Knowledge Engineering, 2019, Page(s) 101786, ISSN 0169-023X
Editore: 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

Autori: Angelo Facchini, Alessandro Rubino, Guido Caldarelli, Giuseppe Di Liddo
Pubblicato in: Energy Policy, 125, 2019, Page(s) 110-121, ISSN 0301-4215
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.enpol.2018.10.047

Meaningful Explanations of Black Box AI Decision Systems

Autori: Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, 33, 2019, Page(s) 9780-9784, ISSN 2374-3468
Editore: AAAI Conference on Artificial Intelligence
DOI: 10.1609/aaai.v33i01.33019780

Corporate payments networks and credit risk rating

Autori: Elisa Letizia, Fabrizio Lillo
Pubblicato in: EPJ Data Science, 8/1, 2019, ISSN 2193-1127
Editore: SpringerOpen
DOI: 10.1140/epjds/s13688-019-0197-5

PlayeRank

Autori: Luca Pappalardo, Paolo Cintia, Paolo Ferragina, Emanuele Massucco, Dino Pedreschi, Fosca Giannotti
Pubblicato in: ACM Transactions on Intelligent Systems and Technology, 10/5, 2019, Page(s) 1-27, ISSN 2157-6904
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3343172

The italian music superdiversity

Autori: Laura Pollacci, Riccardo Guidotti, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi
Pubblicato in: Multimedia Tools and Applications, 78/3, 2019, Page(s) 3297-3319, ISSN 1380-7501
Editore: Kluwer Academic Publishers
DOI: 10.1007/s11042-018-6511-6

Collective synchronization and high frequency systemic instabilities in financial markets

Autori: Lucio Maria Calcagnile, Giacomo Bormetti, Michele Treccani, Stefano Marmi, Fabrizio Lillo
Pubblicato in: Quantitative Finance, 18/2, 2017, Page(s) 237-247, ISSN 1469-7688
Editore: Institute of Physics Publishing
DOI: 10.1080/14697688.2017.1403141

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

Autori: Mauro Coletto, Kiran Garimella, Aristides Gionis, Claudio Lucchese
Pubblicato in: Online Social Networks and Media, 3-4, 2017, Page(s) 22-31, ISSN 2468-6964
Editore: Elsevier
DOI: 10.1016/j.osnem.2017.10.001

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

Autori: Giulio Rossetti, Letizia Milli, Rémy Cazabet
Pubblicato in: Applied Network Science, 4/1, 2019, ISSN 2364-8228
Editore: SpringerOpen
DOI: 10.1007/s41109-019-0165-9

Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences

Autori: Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi
Pubblicato in: IEEE Transactions on Knowledge and Data Engineering, 31/11, 2019, Page(s) 2151-2163, ISSN 1041-4347
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tkde.2018.2872587

Recognizing Residents and Tourists with Retail Data Using Shopping Profiles

Autori: Riccardo Guidotti, Lorenzo Gabrielli
Pubblicato in: Smart Objects and Technologies for Social Good, 233, 2018, Page(s) 353-363, ISBN 978-3-319-76110-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-76111-4_35

The Principle of Purpose Limitation and Big Data

Autori: Nikolaus Forgó, Stefanie Hänold, Benjamin Schütze
Pubblicato in: 2017, Page(s) 17-42
Editore: Springer Singapore
DOI: 10.1007/978-981-10-5038-1_2

FINJ: A Fault Injection Tool for HPC Systems

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

Document Aboutness via Sophisticated Syntactic and Semantic Features

Autori: Marco Ponza, Paolo Ferragina, Francesco Piccinno
Pubblicato in: Natural Language Processing and Information Systems, 10260, 2017, Page(s) 441-453, ISBN 978-3-319-59568-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-59569-6_53

Evaluating Top-K Approximate Patterns via Text Clustering

Autori: Claudio Lucchese, Salvatore Orlando, Raffaele Perego
Pubblicato in: Big Data Analytics and Knowledge Discovery, 9829, 2016, Page(s) 114-127, ISBN 978-3-319-43945-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-43946-4_8

Audio Ergo Sum

Autori: Riccardo Guidotti, Giulio Rossetti, Dino Pedreschi
Pubblicato in: Software Technologies: Applications and Foundations, 9946, 2016, Page(s) 51-66, ISBN 978-3-319-50229-8
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-50230-4_5

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

Autori: Riccardo Guidotti, Michele Coscia, Dino Pedreschi, Diego Pennacchioli
Pubblicato in: Advances in Network Science, 9564, 2016, Page(s) 29-42, ISBN 978-3-319-28360-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-28361-6_3

Analysis of Co-authorship Ego Networks

Autori: Valerio Arnaboldi, Robin I. M. Dunbar, Andrea Passarella, Marco Conti
Pubblicato in: Advances in Network Science, 9564, 2016, Page(s) 82-96, ISBN 978-3-319-28360-9
Editore: 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

Autori: Kamini Garg, Valerio Arnaboldi, Silvia Giordano
Pubblicato in: Complex Networks & Their Applications V, 693, 2017, Page(s) 459-471, ISBN 978-3-319-50900-6
Editore: 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

Autori: Matija Piškorec, Nino Antulov-Fantulin, Iva Miholić, Tomislav Šmuc, Mile Šikić
Pubblicato in: Complex Networks & Their Applications VI, 689, 2018, Page(s) 1015-1027, ISBN 978-3-319-72149-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-72150-7_82

Assessing Privacy Risk in Retail Data

Autori: Roberto Pellungrini, Francesca Pratesi, Luca Pappalardo
Pubblicato in: Personal Analytics and Privacy. An Individual and Collective Perspective, 10708, 2017, Page(s) 17-22, ISBN 978-3-319-71969-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-71970-2_3

Methods for Reconstructing Interbank Networks from Limited Information: A Comparison

Autori: Piero Mazzarisi, Fabrizio Lillo
Pubblicato in: Econophysics and Sociophysics: Recent Progress and Future Directions, 2017, Page(s) 201-215, ISBN 978-3-319-47704-6
Editore: 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

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

Ensemble Approach for Generalized Network Dismantling

Autori: Xiao-Long Ren, Nino Antulov-Fantulin
Pubblicato in: Complex Networks and Their Applications VIII - Volume 1 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019, 881, 2020, Page(s) 783-793, ISBN 978-3-030-36686-5
Editore: 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

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

Privacy Risk for Individual Basket Patterns

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

Constraint Programming-Based Job Dispatching for Modern HPC Applications

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

Online Fault Classification in HPC Systems Through Machine Learning

Autori: Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
Pubblicato in: Euro-Par 2019: Parallel Processing - 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, August 26–30, 2019, Proceedings, 11725, 2019, Page(s) 3-16, ISBN 978-3-030-29399-4
Editore: 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

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

Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers

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

Analyzing Privacy Risk in Human Mobility Data

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

On the Equivalence Between Community Discovery and Clustering

Autori: Riccardo Guidotti, Michele Coscia
Pubblicato in: Smart Objects and Technologies for Social Good, 233, 2018, Page(s) 342-352, ISBN 978-3-319-76110-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-76111-4_34

Personal Analytics and Privacy. An Individual and Collective Perspective

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

A Novel Approach to Evaluate Community Detection Algorithms on Ground Truth

Autori: Giulio Rossetti, Luca Pappalardo, Salvatore Rinzivillo
Pubblicato in: 2016, Page(s) 133-144
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-30569-1_10

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

Autori: Cresci, Stefano; Lillo, Fabrizio; Regoli, Daniele; Tardelli, Serena; Tesconi, Maurizio
Pubblicato in: 2, 2018
Editore: Cornell University Library

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

Autori: Adriaens, Florian; De Bie, Tijl; Gionis, Aristides; Lijffijt, Jefrey; Rozenshtein, Polina
Pubblicato in: 2, 2018
Editore: arxiv.org

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

Autori: Mazzarisi, Piero; Barucca, Paolo; Lillo, Fabrizio; Tantari, Daniele
Pubblicato in: 3, 2017
Editore: arxiv.org

Generalized Network Dismantling

Autori: Ren, Xiao-Long; Gleinig, Niels; Helbing, Dirk; Antulov-Fantulin, Nino
Pubblicato in: 3, 2018
Editore: arxiv

Characterizing Fan Behavior to Study Para Social Breakups

Autori: Garimella, Kiran; Cohen, Jonathan; Weber, Ingmar
Pubblicato in: 3, 2017
Editore: arxiv.org

Uncovering intimate and casual relationships from mobile phone communication.

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

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

Autori: L. Pappalardo, P. Cintia, P. Ferragina, E. Massucco, D. Pedreschi, F. Giannotti
Pubblicato in: 2018
Editore: arxiv.org

Prediction of next career moves from scientific profiles

Autori: Charlotte James, Luca Pappalardo, Alina Sirbu, and Filippo Simini
Pubblicato in: 2018
Editore: arxiv.org

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

Autori: Francesca Pratesi, Anna Monreale, Roberto Trasarti, Fosca Giannotti, Dino Pedreschi, Tadashi Yanagihara
Pubblicato in: 2018
Editore: Transactions on Data Privacy

RumourEval 2019: Determining Rumour Veracity and Support for Rumours

Autori: Gorrell, Genevieve; Bontcheva, Kalina; Derczynski, Leon; Kochkina, Elena; Liakata, Maria; Zubiaga, Arkaitz
Pubblicato in: 5, 2019
Editore: ArXiv

Harnessing the Social Sensing revolution: Challenges and Opportunities

Autori: Stefano Cresci
Pubblicato in: 2018
Editore: University of Pisa, Italy

Detectability of ranking hierarchies in directed networks

Autori: Elisa Letizia, Paolo Barucca, Fabrizio Lillo
Pubblicato in: arXiv.org e-Print archive, 2016, ISSN 2331-8422
Editore: Cornell University

The Ebb and Flow of Controversial Debates on Social Media

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

Time augmented bond percolation mapping of spreading dynamics on networks

Autori: Nino Antulov-Fantulin, Dijana Tolic
Pubblicato in: arXiv.org e-Print archive, 2016, ISSN 2331-8422
Editore: Cornell University

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

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