Deliverables Other (12) 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 Documents, reports (36) 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. Demonstrators, pilots, prototypes (6) 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. Websites, patent fillings, videos etc. (3) 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. Publications Conference proceedings (109) Factors in Recommending Contrarian Content on Social Media Author(s): Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis Published in: Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Page(s) 263-266, ISBN 9781-450348966 Publisher: ACM Press DOI: 10.1145/3091478.3091515 Where Could We Go? - Recommendations for Groups in Location-Based Social Networks Author(s): Frederick Ayala-Gómez, Bálint Daróczy, Michael Mathioudakis, András Benczúr, Aristides Gionis Published in: Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Page(s) 93-102, ISBN 9781-450348966 Publisher: ACM Press DOI: 10.1145/3091478.3091485 Finding topical experts in Twitter via query-dependent personalized PageRank Author(s): Preethi Lahoti, Gianmarco De Francisci Morales, Aristides Gionis Published 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 Publisher: ACM Press DOI: 10.1145/3110025.3110044 The Effect of Collective Attention on Controversial Debates on Social Media Author(s): Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis Published in: Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Page(s) 43-52, ISBN 9781-450348966 Publisher: ACM Press DOI: 10.1145/3091478.3091486 Active Network Alignment - A Matching-Based Approach Author(s): Eric Malmi, Aristides Gionis, Evimaria Terzi Published in: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17, 2017, Page(s) 1687-1696, ISBN 9781-450349185 Publisher: ACM Press DOI: 10.1145/3132847.3132983 The network-untangling problem Author(s): Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis Published in: 2017, Page(s) 701-716 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-71249-9_42 Inferring the Strength of Social Ties - A Community-Driven Approach Author(s): Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis Published 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 Publisher: ACM Press DOI: 10.1145/3097983.3098199 Human Perception of Performance Author(s): Luca Pappalardo, Paolo Cintia, Dino Pedreschi, Fosca Giannotti, Albert-Laszlo Barabasi Published in: 2017 Publisher: Cornell University Library Balancing information exposure in social networks Author(s): Kiran Garimella, Aristides Gionis, Nikos Parotsidis, Nikolaj Tatti Published in: 31st Annual Conference on Neural Information Processing Systems (NIPS), 2018 Publisher: Cornell University Library Who is going to get hurt? Predicting injuries in professional soccer Author(s): A. Rossi, L. Pappalardo, P. Cintia, J. Fernandez, M. F. Iaia, D. Medina Published in: MLSA@PKDD/ECML, 2017 Publisher: MLSA@PKDD/ECML On the Equivalence Between Community Discovery and Clustering Author(s): R. Guidotti, M. Coscia Published in: International Conference on Smart Objects and Technologies for Social Good GOODTECHS 2017: Smart Objects and Technologies for Social Good, 2018 Publisher: Springer News Media Coverage of Refugees in 2016: A GDELT Case Study Author(s): Emina Boudemagh, Izabela Moise Published in: Eleventh International AAAI Conference on Web and Social Media, 2017 Publisher: AAAI Press The Fractal Dimension of Music Author(s): Laura Pollacci, Riccardo Guidotti, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi Published in: 2017, Page(s) 183-194 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-76111-4_19 Clustering Individual Transactional Data for Masses of Users Author(s): Riccardo Guidotti, Anna Monreale, Mirco Nanni, Fosca Giannotti, Dino Pedreschi Published 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 Publisher: ACM Press DOI: 10.1145/3097983.3098034 Market Basket Prediction Using User-Centric Temporal Annotated Recurring Sequences Author(s): Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi Published in: 2017 IEEE International Conference on Data Mining (ICDM), 2017, Page(s) 895-900, ISBN 978-1-5386-3835-4 Publisher: IEEE DOI: 10.1109/ICDM.2017.111 There's a Path for Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas Author(s): Riccardo Guidotti, Roberto Trasarti, Mirco Nanni, Fosca Giannotti, Dino Pedreschi Published in: 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2017, Page(s) 303-312, ISBN 978-1-5090-5004-8 Publisher: IEEE DOI: 10.1109/DSAA.2017.12 Early Signals of Trending Rumor Event in Streaming Social Media Author(s): Shihan Wang, Izabela Moise, Dirk Helbing, Takao Terano Published in: 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), 2017, Page(s) 654-659, ISBN 978-1-5386-0367-3 Publisher: IEEE DOI: 10.1109/COMPSAC.2017.115 Sensing and Mining Urban Qualities in Smart Cities Author(s): Danielle Griego, Varin Buff, Eric Hayoz, Izabela Moise, Evangelos Pournaras Published in: 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA), 2017, Page(s) 1004-1011, ISBN 978-1-5090-6029-0 Publisher: IEEE DOI: 10.1109/AINA.2017.14 Recommender Systems for Banking and Financial Services Author(s): Andrea Gigli, Fabrizio Lillo, Daniele Regoli Published in: RecSys ACM, 2017 Publisher: ACM Data-Driven Job Dispatching in HPC Systems Author(s): Cristian Galleguillos, Alina Sîrbu, Zeynep Kiziltan, Ozalp Babaoglu, Andrea Borghesi, Thomas Bridi Published in: MOD 2017 - The Third International Conference on Machine Learning, Optimization and Big Data, 2017, Page(s) 449-461 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-72926-8_37 Open the Black Box Data-Driven Explanation of Black Box Decision Systems Author(s): Pedreschi, Dino; Giannotti, Fosca; Guidotti, Riccardo; Monreale, Anna; Pappalardo, Luca; Ruggieri, Salvatore; Turini, Franco Published in: 5th International Conference on Big Data Analysis and Data Mining, Issue 1, 2018 Publisher: 5th International Conference on Big Data Analysis and Data Mining Twitter and the Press - an Ego-Centred Analysis Author(s): Chiara Boldrini, Mustafa Toprak, Marco Conti, Andrea Passarella Published in: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018, Page(s) 1471-1478, ISBN 9781-450356404 Publisher: ACM Press DOI: 10.1145/3184558.3191596 Social Physics: Uncovering Human Behaviour from Communication Author(s): Bhattacharya, Kunal; Kaski, Kimmo Published in: Cornell University Library, Issue 2, 2018 Publisher: Cornell University Library Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating Author(s): Eric Malmi, Aristides Gionis, Arno Solin Published in: Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018, Page(s) 883-892, ISBN 9781-450356398 Publisher: ACM Press DOI: 10.1145/3178876.3186136 Performance Analysis of a Device-to-Device Offloading Scheme in a Vehicular Network Environment Author(s): Pescosolido, Loreto; Conti, Marco; Passarella, Andrea Published in: Issue 2, 2018 Publisher: arxiv Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter Author(s): Preethi Lahoti, Kiran Garimella, Aristides Gionis Published in: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18, 2018, Page(s) 351-359, ISBN 9781-450355810 Publisher: ACM Press DOI: 10.1145/3159652.3159669 Political Discourse on Social Media - Echo Chambers, Gatekeepers, and the Price of Bipartisanship Author(s): Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis Published in: Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018, Page(s) 913-922, ISBN 9781-450356398 Publisher: ACM Press DOI: 10.1145/3178876.3186139 Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings Author(s): Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin Published in: 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018, Page(s) 1289-1293, ISBN 978-1-5386-9288-2 Publisher: IEEE DOI: 10.1109/icdmw.2018.00183 Ad-blocking - A Study on Performance, Privacy and Counter-measures Author(s): Kiran Garimella, Orestis Kostakis, Michael Mathioudakis Published in: Proceedings of the 2017 ACM on Web Science Conference - WebSci '17, 2017, Page(s) 259-262, ISBN 9781-450348966 Publisher: ACM Press DOI: 10.1145/3091478.3091514 Extracting Event-Centric Document Collections from Large-Scale Web Archives Author(s): Gossen, Gerhard; Demidova, Elena; Risse, Thomas Published in: International Conference on Theory and Practice of Digital Libraries TPDL 2017, Issue 3, 2017 Publisher: Springer DOI: 10.1007/978-3-319-67008-9_10 A Motif-based Approach for Identifying Controversy Author(s): Coletto, Mauro; Garimella, Kiran; Gionis, Aristides; Lucchese, Claudio Published in: THE 11TH INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA (ICWSM-17), Issue 3, 2017, ISBN 9781-577357889 Publisher: ICWSM Mary, Mary, Quite Contrary - Exposing Twitter Users to Contrarian News Author(s): Kiran Garimella, Gianmarco De Francisc iMorales, Aristides Gionis, Michael Mathioudakis Published in: Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion, 2017, Page(s) 201-205, ISBN 9781-450349147 Publisher: ACM Press DOI: 10.1145/3041021.3054737 Finding low-tension communities Author(s): Esther Galbrun, Behzad Golshan, Aristides Gionis, Evimaria Terzi Published in: Proceedings of the 2017 SIAM International Conference on Data Mining, 2017, Page(s) 336-344 Publisher: Society for Industrial and Applied Mathematics DOI: 10.1137/1.9781611974973.38 Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter Author(s): Laura Pollacci, Alina Sîrbu, Fosca Giannotti, Dino Pedreschi, Claudio Lucchese, Cristina Ioana Muntean Published in: Conference of the Italian Association for Artificial Intelligence AI*IA 2017, 2017, Page(s) 114-127 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-70169-1_9 On the Behaviour of Deviant Communities in Online Social Networks Author(s): Coletto, Mauro; Aiello, Luca Maria; Lucchese, Claudio; Silvestri, Fabrizio Published in: ICWSM, Issue 3, 2016 Publisher: ICWSM Sentiment-enhanced multidimensional analysis of online social networks: Perception of the mediterranean refugees crisis Author(s): Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso Published 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 Publisher: IEEE DOI: 10.1109/ASONAM.2016.7752401 Discovering Topically- and Temporally-Coherent Events in Interaction Networks Author(s): Han Xiao, Polina Rozenshtein, Aristides Gionis Published in: Joint European Conference on Machine Learning and Knowledge Discovery in Databases ECML PKDD 2016, 2016, Page(s) 690-705 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-46227-1_43 Information Diffusion in Complex Networks: The Active/Passive Conundrum Author(s): Letizia Milli, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti Published in: International Conference on Complex Networks and their Applications COMPLEX NETWORKS 2017, 2017, Page(s) 305-313 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-72150-7_25 NDlib: Studying Network Diffusion Dynamics Author(s): Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sirbu, Dino Pedreschi, Fosca Giannotti Published in: 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2017, Page(s) 155-164, ISBN 978-1-5090-5004-8 Publisher: IEEE DOI: 10.1109/DSAA.2017.6 Reconstructing a cascade from temporal Author(s): Han Xiao, Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis Published in: SIAM International Conference on Data Mining, 2018, Page(s) 666-674 Publisher: Society for Industrial and Applied Mathematics DOI: 10.1137/1.9781611975321.75 RankEval - An Evaluation and Analysis Framework for Learning-to-Rank Solutions Author(s): Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani Published 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 Publisher: ACM Press DOI: 10.1145/3077136.3084140 Fast Estimation of Privacy Risk in Human Mobility Author(s): Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale Published in: International Conference on Computer Safety, Reliability, and Security SAFECOMP 2017: Computer Safety, Reliability, and Security, 2017, Page(s) 415-426 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-66284-8_35 Social Media Image Recognition for Food Trend Analysis Author(s): Giuseppe Amato, Paolo Bolettieri, Vinicius Monteiro de Lira, Cristina Ioana Muntean, Raffaele Perego, Chiara Renso Published 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 Publisher: ACM Press DOI: 10.1145/3077136.3084142 Political discourse on social media: Echo chambers, gatekeepers, and the price of bipartisanship Author(s): Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis Published in: The Web Conference (WWW), 2018 Publisher: Arxiv.org Tell me something my friends do not know: Diversity maximization in social networks Author(s): Antonis Matakos, Aristides Gionis Published in: ICDM, 2018 Publisher: icdm2018.org Robust cascade reconstruction by Steiner-tree sampling Author(s): Hax Xiao, Cigdem Aslay, Aristides Gionis Published in: 2018 Publisher: ICDM.org Maximizing the Diversity of Exposure in a Social Network Author(s): Cigdem Aslay, Antonis Matakos, Esther Galbrun, Aristides Gionis Published in: 2018 IEEE International Conference on Data Mining (ICDM), 2018, Page(s) 863-868, ISBN 978-1-5386-9159-5 Publisher: IEEE DOI: 10.1109/icdm.2018.00102 Explainable time series tweaking via irreversible and reversible temporal transformations Author(s): Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, and Aristides Gionis Published in: ICDM 2018, 2018 Publisher: ICDM:ORG Finding Events in Temporal Networks: Segmentation Meets Densest-Subgraph Discovery Author(s): Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, Nikolaj Tatti Published in: 2018 IEEE International Conference on Data Mining (ICDM), 2018, Page(s) 397-406, ISBN 978-1-5386-9159-5 Publisher: IEEE DOI: 10.1109/icdm.2018.00055 Real-World Witness Detection in Social Media via Hybrid Crowdsensing Author(s): Stefano Cresci, Andrea Cimino, Marco Avvenuti, Maurizio Tesconi, Felice Dell'Orletta Published in: THE 12TH INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA (ICWSM-18), 2018 Publisher: ICSWM 2018 Selective Gradient Boosting for Effective Learning to Rank Author(s): Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani Published in: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18, 2018, Page(s) 155-164, ISBN 9781-450356572 Publisher: ACM Press DOI: 10.1145/3209978.3210048 $FAKE: Evidence of spam and bot activity in stock microblogs on Twitter Author(s): Stefano Cresci, Fabrizio Lillo, Daniele Regoli, Serena Tardelli, Maurizio Tesconi Published in: ICWSM, 2018 Publisher: ICWSM Heterogeneity-Aware Resource Allocation Author(s): Alessio Netti, Cristian Galleguillos, Zeynep Kiziltan, Alina Sîrbu, Ozalp Babaoglu Published in: 2018, Page(s) 3-21 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-92040-5_1 Cognified Distributed Computing Author(s): Ozalp Babaoglu, Alina Sirbu Published in: 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018, Page(s) 1180-1191, ISBN 978-1-5386-6871-9 Publisher: IEEE DOI: 10.1109/ICDCS.2018.00118 Quantifying Media Influence and Partisan Attention on Twitter During the UK EU Referendum Author(s): Genevieve Gorrell, Ian Roberts, Mark A. Greenwood, Mehmet E. Bakir, Benedetta Iavarone, Kalina Bontcheva Published in: SocInfo 2018, 2018, Page(s) 274-290 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-01129-1_17 Investigating Similarity of Nodes' Attributes in Topological Based Communities. 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DOI: 10.1007/s10586-019-02906-4 Socio-technical smart grid optimization via decentralized charge control of electric vehicles Author(s): Evangelos Pournaras, Seoho Jung, Srivatsan Yadhunathan, Huiting Zhang, Xingliang Fang Published in: Applied Soft Computing, Issue 82, 2019, Page(s) 105573, ISSN 1568-4946 Publisher: Elsevier BV DOI: 10.1016/j.asoc.2019.105573 A machine learning approach to online fault classification in HPC systems Author(s): Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi Published in: Future Generation Computer Systems, 2019, ISSN 0167-739X Publisher: Elsevier BV DOI: 10.1016/j.future.2019.11.029 Estimating PageRank deviations in crawled graphs Author(s): Helge Holzmann, Avishek Anand, Megha Khosla Published in: Applied Network Science, Issue 4/1, 2019, ISSN 2364-8228 Publisher: SpringerOpen DOI: 10.1007/s41109-019-0201-9 Effects of memory on spreading processes in non-Markovian temporal networks Author(s): Oliver E Williams, Fabrizio Lillo, Vito Latora Published in: New Journal of Physics, Issue 21/4, 2019, Page(s) 043028, ISSN 1367-2630 Publisher: Institute of Physics Publishing DOI: 10.1088/1367-2630/ab13fb Clusters of Investors Around Initial Public Offering Author(s): Margarita Baltakienė, Kęstutis Baltakys, Juho Kanniainen, Dino Pedreschi, Fabrizio Lillo Published in: SSRN Electronic Journal, 2019, ISSN 1556-5068 Publisher: SSRN DOI: 10.2139/ssrn.3396911 Optimal positioning of storage systems in microgrids based on complex networks centrality measures Author(s): Saman Korjani, Angelo Facchini, Mario Mureddu, Guido Caldarelli, Alfonso Damiano Published in: Scientific Reports, Issue 8/1, 2018, ISSN 2045-2322 Publisher: Nature Publishing Group DOI: 10.1038/s41598-018-35128-6 Portfolio analysis and geographical allocation of renewable sources: A stochastic approach Author(s): Antonio Scala, Angelo Facchini, Umberto Perna, Riccardo Basosi Published in: Energy Policy, Issue 125, 2019, Page(s) 154-159, ISSN 0301-4215 Publisher: Pergamon Press Ltd. DOI: 10.1016/j.enpol.2018.10.034 PRIMULE: Privacy risk mitigation for user profiles Author(s): Francesca Pratesi, Lorenzo Gabrielli, Paolo Cintia, Anna Monreale, Fosca Giannotti Published in: Data & Knowledge Engineering, 2019, Page(s) 101786, ISSN 0169-023X Publisher: 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 Author(s): Angelo Facchini, Alessandro Rubino, Guido Caldarelli, Giuseppe Di Liddo Published in: Energy Policy, Issue 125, 2019, Page(s) 110-121, ISSN 0301-4215 Publisher: Pergamon Press Ltd. DOI: 10.1016/j.enpol.2018.10.047 Meaningful Explanations of Black Box AI Decision Systems Author(s): Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 33, 2019, Page(s) 9780-9784, ISSN 2374-3468 Publisher: AAAI Conference on Artificial Intelligence DOI: 10.1609/aaai.v33i01.33019780 Corporate payments networks and credit risk rating Author(s): Elisa Letizia, Fabrizio Lillo Published in: EPJ Data Science, Issue 8/1, 2019, ISSN 2193-1127 Publisher: SpringerOpen DOI: 10.1140/epjds/s13688-019-0197-5 PlayeRank Author(s): Luca Pappalardo, Paolo Cintia, Paolo Ferragina, Emanuele Massucco, Dino Pedreschi, Fosca Giannotti Published in: ACM Transactions on Intelligent Systems and Technology, Issue 10/5, 2019, Page(s) 1-27, ISSN 2157-6904 Publisher: Association for Computing Machinery (ACM) DOI: 10.1145/3343172 The italian music superdiversity Author(s): Laura Pollacci, Riccardo Guidotti, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi Published in: Multimedia Tools and Applications, Issue 78/3, 2019, Page(s) 3297-3319, ISSN 1380-7501 Publisher: Kluwer Academic Publishers DOI: 10.1007/s11042-018-6511-6 Collective synchronization and high frequency systemic instabilities in financial markets Author(s): Lucio Maria Calcagnile, Giacomo Bormetti, Michele Treccani, Stefano Marmi, Fabrizio Lillo Published in: Quantitative Finance, Issue 18/2, 2017, Page(s) 237-247, ISSN 1469-7688 Publisher: Institute of Physics Publishing DOI: 10.1080/14697688.2017.1403141 Automatic controversy detection in social media: A content-independent motif-based approach Author(s): Mauro Coletto, Kiran Garimella, Aristides Gionis, Claudio Lucchese Published in: Online Social Networks and Media, Issue 3-4, 2017, Page(s) 22-31, ISSN 2468-6964 Publisher: Elsevier DOI: 10.1016/j.osnem.2017.10.001 CDLIB: a python library to extract, compare and evaluate communities from complex networks Author(s): Giulio Rossetti, Letizia Milli, Rémy Cazabet Published in: Applied Network Science, Issue 4/1, 2019, ISSN 2364-8228 Publisher: SpringerOpen DOI: 10.1007/s41109-019-0165-9 Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences Author(s): Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi Published in: IEEE Transactions on Knowledge and Data Engineering, Issue 31/11, 2019, Page(s) 2151-2163, ISSN 1041-4347 Publisher: Institute of Electrical and Electronics Engineers DOI: 10.1109/tkde.2018.2872587 Book chapters (22) Recognizing Residents and Tourists with Retail Data Using Shopping Profiles Author(s): Riccardo Guidotti, Lorenzo Gabrielli Published in: Smart Objects and Technologies for Social Good, Issue 233, 2018, Page(s) 353-363, ISBN 978-3-319-76110-7 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-76111-4_35 The Principle of Purpose Limitation and Big Data Author(s): Nikolaus Forgó, Stefanie Hänold, Benjamin Schütze Published in: 2017, Page(s) 17-42 Publisher: Springer Singapore DOI: 10.1007/978-981-10-5038-1_2 FINJ: A Fault Injection Tool for HPC Systems Author(s): Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi Published in: Euro-Par 2018: Parallel Processing Workshops - Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers, Issue 11339, 2019, Page(s) 800-812, ISBN 978-3-030-10548-8 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-10549-5_62 Document Aboutness via Sophisticated Syntactic and Semantic Features Author(s): Marco Ponza, Paolo Ferragina, Francesco Piccinno Published in: Natural Language Processing and Information Systems, Issue 10260, 2017, Page(s) 441-453, ISBN 978-3-319-59568-9 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-59569-6_53 Evaluating Top-K Approximate Patterns via Text Clustering Author(s): Claudio Lucchese, Salvatore Orlando, Raffaele Perego Published in: Big Data Analytics and Knowledge Discovery, Issue 9829, 2016, Page(s) 114-127, ISBN 978-3-319-43945-7 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-43946-4_8 Audio Ergo Sum Author(s): Riccardo Guidotti, Giulio Rossetti, Dino Pedreschi Published in: Software Technologies: Applications and Foundations, Issue 9946, 2016, Page(s) 51-66, ISBN 978-3-319-50229-8 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-50230-4_5 Going Beyond GDP to Nowcast Well-Being Using Retail Market Data Author(s): Riccardo Guidotti, Michele Coscia, Dino Pedreschi, Diego Pennacchioli Published in: Advances in Network Science, Issue 9564, 2016, Page(s) 29-42, ISBN 978-3-319-28360-9 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-28361-6_3 Analysis of Co-authorship Ego Networks Author(s): Valerio Arnaboldi, Robin I. M. Dunbar, Andrea Passarella, Marco Conti Published in: Advances in Network Science, Issue 9564, 2016, Page(s) 82-96, ISBN 978-3-319-28360-9 Publisher: 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 Author(s): Kamini Garg, Valerio Arnaboldi, Silvia Giordano Published in: Complex Networks & Their Applications V, Issue 693, 2017, Page(s) 459-471, ISBN 978-3-319-50900-6 Publisher: 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 Author(s): Matija Piškorec, Nino Antulov-Fantulin, Iva Miholić, Tomislav Šmuc, Mile Šikić Published in: Complex Networks & Their Applications VI, Issue 689, 2018, Page(s) 1015-1027, ISBN 978-3-319-72149-1 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-72150-7_82 Assessing Privacy Risk in Retail Data Author(s): Roberto Pellungrini, Francesca Pratesi, Luca Pappalardo Published in: Personal Analytics and Privacy. An Individual and Collective Perspective, Issue 10708, 2017, Page(s) 17-22, ISBN 978-3-319-71969-6 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-71970-2_3 Methods for Reconstructing Interbank Networks from Limited Information: A Comparison Author(s): Piero Mazzarisi, Fabrizio Lillo Published in: Econophysics and Sociophysics: Recent Progress and Future Directions, 2017, Page(s) 201-215, ISBN 978-3-319-47704-6 Publisher: 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 Author(s): Risko Ruus, Rajesh Sharma Published in: Complex Networks and Their Applications VIII - Volume 2 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019, Issue 882, 2020, Page(s) 982-994, ISBN 978-3-030-36682-7 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-36683-4_78 Ensemble Approach for Generalized Network Dismantling Author(s): Xiao-Long Ren, Nino Antulov-Fantulin Published in: Complex Networks and Their Applications VIII - Volume 1 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019, Issue 881, 2020, Page(s) 783-793, ISBN 978-3-030-36686-5 Publisher: 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 Author(s): Hendrik Hiir, Rajesh Sharma, Anto Aasa, Erki Saluveer Published in: Complex Networks and Their Applications VIII - Volume 2 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019, Issue 882, 2020, Page(s) 415-426, ISBN 978-3-030-36682-7 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-36683-4_34 Privacy Risk for Individual Basket Patterns Author(s): Roberto Pellungrini, Anna Monreale, Riccardo Guidotti Published in: ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Issue 11054, 2019, Page(s) 141-155, ISBN 978-3-030-13462-4 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-13463-1_11 Constraint Programming-Based Job Dispatching for Modern HPC Applications Author(s): Cristian Galleguillos, Zeynep Kiziltan, Alina Sîrbu, Ozalp Babaoglu Published in: Principles and Practice of Constraint Programming - 25th International Conference, CP 2019, Stamford, CT, USA, September 30 – October 4, 2019, Proceedings, Issue 11802, 2019, Page(s) 438-455, ISBN 978-3-030-30047-0 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-30048-7_26 Online Fault Classification in HPC Systems Through Machine Learning Author(s): Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi Published in: Euro-Par 2019: Parallel Processing - 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, August 26–30, 2019, Proceedings, Issue 11725, 2019, Page(s) 3-16, ISBN 978-3-030-29399-4 Publisher: 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 Author(s): Simone Bertoli, Paolo Cintia, Fosca Giannotti, Etienne Madinier, Caglar Ozden, Michael Packard, Dino Pedreschi, Hillel Rapoport, Alina Sîrbu, Biagio Speciale Published 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 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-12554-7_10 Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers Author(s): Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi Published in: Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I, Issue 11439, 2019, Page(s) 55-68, ISBN 978-3-030-16147-7 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-16148-4_5 Analyzing Privacy Risk in Human Mobility Data Author(s): Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale Published in: Software Technologies: Applications and Foundations - STAF 2018 Collocated Workshops, Toulouse, France, June 25-29, 2018, Revised Selected Papers, Issue 11176, 2018, Page(s) 114-129, ISBN 978-3-030-04770-2 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-04771-9_10 On the Equivalence Between Community Discovery and Clustering Author(s): Riccardo Guidotti, Michele Coscia Published in: Smart Objects and Technologies for Social Good, Issue 233, 2018, Page(s) 342-352, ISBN 978-3-319-76110-7 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-76111-4_34 Monographic books (2) Personal Analytics and Privacy. An Individual and Collective Perspective Author(s): Riccardo Guidotti, Anna Monreale, Dino Pedreschi, Serge Abiteboul Published in: Lecture Notes in Computer Science, 2017, ISBN 978-3-319-71970-2 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-71970-2 A Novel Approach to Evaluate Community Detection Algorithms on Ground Truth Author(s): Giulio Rossetti, Luca Pappalardo, Salvatore Rinzivillo Published in: 2016, Page(s) 133-144 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-30569-1_10 Other (10) Cashtag piggybacking: uncovering spam and bot activity in stock microblogs on Twitter Author(s): Cresci, Stefano; Lillo, Fabrizio; Regoli, Daniele; Tardelli, Serena; Tesconi, Maurizio Published in: Issue 2, 2018 Publisher: Cornell University Library From acquaintance to best friend forever: robust and fine-grained inference of social tie strengths Author(s): Adriaens, Florian; De Bie, Tijl; Gionis, Aristides; Lijffijt, Jefrey; Rozenshtein, Polina Published in: Issue 2, 2018 Publisher: arxiv.org A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market Author(s): Mazzarisi, Piero; Barucca, Paolo; Lillo, Fabrizio; Tantari, Daniele Published in: Issue 3, 2017 Publisher: arxiv.org Generalized Network Dismantling Author(s): Ren, Xiao-Long; Gleinig, Niels; Helbing, Dirk; Antulov-Fantulin, Nino Published in: Issue 3, 2018 Publisher: arxiv Characterizing Fan Behavior to Study Para Social Breakups Author(s): Garimella, Kiran; Cohen, Jonathan; Weber, Ingmar Published in: Issue 3, 2017 Publisher: arxiv.org Uncovering intimate and casual relationships from mobile phone communication. Author(s): Kunal Bhattacharya, Daniel Monsivais and Kimmo Kaski (Aalto University), Mikaela Fudolig and Hang Hyun Jo (Asia Pacific Center for Theoretical Physics) Published in: 2018 Publisher: arxiv.org PlayeRank: Multi-dimensional and role-aware rating of soccer player performance Author(s): L. Pappalardo, P. Cintia, P. Ferragina, E. Massucco, D. Pedreschi, F. Giannotti Published in: 2018 Publisher: arxiv.org Prediction of next career moves from scientific profiles Author(s): Charlotte James, Luca Pappalardo, Alina Sirbu, and Filippo Simini Published in: 2018 Publisher: arxiv.org PRUDEnce: a System for Assessing Privacy Risk vs Utility in Data Sharing Ecosystems Author(s): Francesca Pratesi, Anna Monreale, Roberto Trasarti, Fosca Giannotti, Dino Pedreschi, Tadashi Yanagihara Published in: 2018 Publisher: Transactions on Data Privacy RumourEval 2019: Determining Rumour Veracity and Support for Rumours Author(s): Gorrell, Genevieve; Bontcheva, Kalina; Derczynski, Leon; Kochkina, Elena; Liakata, Maria; Zubiaga, Arkaitz Published in: Issue 5, 2019 Publisher: ArXiv Thesis and dissertations (1) Harnessing the Social Sensing revolution: Challenges and Opportunities Author(s): Stefano Cresci Published in: 2018 Publisher: University of Pisa, Italy Non-peer reviewed articles (4) Detectability of ranking hierarchies in directed networks Author(s): Elisa Letizia, Paolo Barucca, Fabrizio Lillo Published in: arXiv.org e-Print archive, 2016, ISSN 2331-8422 Publisher: Cornell University The Ebb and Flow of Controversial Debates on Social Media Author(s): Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis Published in: arXiv.org e-Print archive, 2017, ISSN 2331-8422 Publisher: Cornell University Time augmented bond percolation mapping of spreading dynamics on networks Author(s): Nino Antulov-Fantulin, Dijana Tolic Published in: arXiv.org e-Print archive, 2016, ISSN 2331-8422 Publisher: Cornell University PRUDEnce: A system for assessing privacy risk vs utility in data sharing ecosystems Author(s): Pratesi, Francesca; Monreale, Anna; Trasarti, Roberto; Giannotti, Fosca; Pedreschi, Dino; Yanagihara, Tadashi Published in: Transactions on Data Privacy 2018, Issue 5, 2018, ISSN 1888-5063 Publisher: Institut d'Investigacio en Intel-ligencia Artificial - Consejo Superior Investigaciones Cientificas (IIIA-CSIC) Searching for OpenAIRE data... 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