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Kenkyuu

Ideas about computers and life

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Research

 

Publications

  • C. Monti, J. D’Ignazi, M. Starnini, G. De Francisci Morales
    “Evidence of Demographic rather than Ideological Segregation in News Discussion on Reddit”
    WWW ’23: The Web Conference, pp. _−_, Austin, 2023.
  • A. Capozzi, G. De Francisci Morales, Y. Mejova, C. Monti, A. Panisson
    “The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections”
    WWW ’23: The Web Conference, pp. _−_, Austin, 2023.
  • F. Petruzzellis, F. Bonchi, G. De Francisci Morales, C. Monti
    “On the Relation Between Opinion Change and Information Consumption on Reddit”
    ICWSM ’23: International AAAI Conference on Web and Social Media, pp, _−_, Limassol, 2023.
  • Y. Mejova, K. Kalimeri, G. De Francisci Morales
    “Authority without Care: Moral Values behind the Mask Mandate Response”
    ICWSM ’23: International AAAI Conference on Web and Social Media, pp, _−_, Limassol, 2023.
  • C. Monti, M. Pangallo, G. De Francisci Morales, F. Bonchi
    “On learning agent-based models from data”
    arXiv:2205.05052, 2022.
  • C. Monti, L. M. Aiello, G. De Francisci Morales, F. Bonchi
    “The language of opinion change on social media under the lens of communicative action”
    SciRep: Scientific Reports 12:17920, 2022.
  • G. Preti, G. De Francisci Morales, M. Riondato
    “ALICE and the Caterpillar: A More Descriptive Null Model for Assessing Data Mining Results”
    ICDM ’22: IEEE International Conference on Data Mining, pp. _−_, Orlando, 2022.
  • C. Rollo, G. De Francisci Morales, C. Monti, A. Panisson
    “Communities, Gateways, and Bridges: Measuring Attention Flow in the Reddit Political Sphere”
    SocInfo ’22: International Conference on Social Informatics, pp. 3−19, Glasgow, 2022. (best paper award)
  • Y. Mejova, J. An, G. De Francisci Morales, H. Kwak
    “Modeling Political Activism around Gun Debate via Social Media”
    TSC: ACM Transactions on Social Computing, 5(1-4):2, 2022.
  • S. De Candia, C. Monti, G. De Francisci Morales, F. Bonchi
    “Social Norms on Reddit: A Demographic Analysis”
    WebSci ’22: ACM International Conference on Web Science, pp. 139−147, Barcelona, 2022.
  • L. Lucchini, L. M. Aiello, L. Alessandretti, G. De Francisci Morales, M. Starnini, A. Baronchelli
    “From Reddit to Wall Street: The role of committed minorities in financial collective action”
    RSOS: Royal Society Open Science, 9(4):211488, 2022.
  • G. Preti, G. De Francisci Morales, F. Bonchi
    “FreSCo: Mining Frequent Patterns in Simplicial Complexes”
    WWW ’22: The Web Conference, pp. 1444−1454, Lyon, 2022.
  • G. D’Acunto, P. Bajardi, F. Bonchi, G. De Francisci Morales
    “The Evolving Causal Structure of Equity Risk Factors”
    ICAIF ’21: ACM International Conference on AI in Finance, (5):1−8, Virtual, 2021.
  • C. Abrate, A. Angius, G. De Francisci Morales, S. Cozzini, F. Iadanza, L. Li Puma, S. Pavanelli, A. Perotti, S. Pignataro, S. Ronchiadin
    “Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company”
    ECMLPKDD ’21: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pp. 237−252, Bilbao, 2021.
  • G. Preti, G. De Francisci Morales, M. Riondato
    “MaNIACS: Approximate Mining of Frequent Subgraph Patterns through Sampling”
    KDD ’21: ACM Conference on Knowledge Discovery and Data Mining, pp. 1348−1358, Singapore, 2021.
  • C. Berloco, G. De Francisci Morales, D. Frassineti, G. Greco, H. Kumarasinghe, M. Lamieri, E. Massaro, A. Miola, S. Yang
    “Predicting Corporate Credit Risk: Network Contagion via Trade Credit”
    PLOS ONE, 16(4):e0250115, 2021.
  • L. Betti, G. De Francisci Morales, L. Gauvin, K. Kalimeri, Y. Mejova, D. Paolotti, M. Starnini
    “Detecting adherence to the recommended childhood vaccination schedule from user-generated content in a US parenting forum”
    PLOS Computational Biology, 17(4):e1008919, 2021.
  • N. A. Fard, G. De Francisci Morales, Y. Mejova, R. Schifanella
    “On the interplay between educational attainment and nutrition: a spatially-aware perspective”
    EPJ Data Science, 10:18, 2021.
  • A. Capozzi, G. De Francisci Morales, Y. Mejova, C. Monti, A. Panisson, D. Paolotti
    “Clandestino or Rifugiato? Anti-immigration Facebook Ad Targeting in Italy”
    CHI ’21: ACM Conference on Human Factors in Computing Systems, pp. 1−15, Yokohama, 2021. (best paper award)
  • G. Preti, G . De Francisci Morales, F. Bonchi
    “STruD: Truss Decomposition of Simplicial Complexes”
    WWW ’21: The Web Conference, pp. 3408−3418, Ljubljana, 2021.
  • M. Cinelli, G. De Francisci Morales, A. Galeazzi, W. Quattrociocchi, M. Starnini
    “The Echo Chamber Effect on Social Media”
    PNAS: Proceedings of the National Academy of Science, 118(9):e2023301118, 2021.
  • G. De Francisci Morales, C. Monti, M. Starnini
    “No Echo in the Chambers of Political Interactions on Reddit”
    SciRep: Scientific Reports, 11:2818, 2021.
  • M. A. U. Nasir, C. Aslay, G. De Francisci Morales, M. Riondato
    “TipTap: Approximate Mining of Frequent 𝑘-Subgraph Patterns in Evolving Graphs”
    TKDD: ACM Transactions on Knowledge Discovery in Data, 15(3):48, 2021.
  • A. Capozzi, G. De Francisci Morales, Y. Mejova, C. Monti, A. Panisson, D. Paolotti
    “Facebook Ads: Politics of Migration in Italy”
    SocInfo’ 20: International Conference on Social Informatics, pp. 43−57, Pisa, 2020. (best paper runner-up)
  • C. Monti, G. De Francisci Morales, F. Bonchi
    “Learning Opinion Dynamics From Social Traces”
    KDD ’20: ACM Conference on Knowledge Discovery and Data Mining, pp. 764−773, San Diego, 2020.
  • M. Cinelli, G. De Francisci Morales, A. Galeazzi, W. Quattrociocchi, M. Starnini
    “Echo Chambers on Social Media: A comparative analysis”
    arXiv:2004.09603, 2020.
  • J. Massachs, C. Monti, G. De Francisci Morales, F. Bonchi
    “Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit”
    WebSci ’20: ACM International Conference on Web Science, pp. 49−58, Southampton, 2020. (best paper honorable mention)
  • A. Cossard, G. De Francisci Morales, K. Kalimeri, Y. Mejova, D. Paolotti, M. Starnini
    “Falling into the Echo Chamber: the Italian Vaccination Debate on Twitter”
    ICWSM ’20: International AAAI Conference on Web and Social Media, pp, 130−140, Atlanta, 2020.
  • S. Esteves, G. De Francisci Morales, R. Rodrigues, M. Serafini, L. Veiga
    “Aion: Better Late than Never in Event-Time Streams”
    arXiv:2003.03604, 2020.
  • A. Atanasov, G. De Francisci Morales, P. Nakov
    “Predicting the Role of Political Trolls in Social Media”
    CoNLL ’19: Conference on Computational Natural Language Learning, pp. 1023−1034, Hong Kong, 2019.
  • G. AbuOda, G. De Francisci Morales, A. Aboulnaga
    “Link Prediction via Higher-Order Motif Features”
    ECMLPKDD ’19: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pp. 412−429, Würzburg, 2019.
  • T. Vasiloudis, G. De Francisci Morales, H. Boström
    “Quantifying Uncertainty in Online Regression Forests”
    JMLR: Journal of Machine Learning Research, 20(155):1−35, 2019.
  • J. An, G. De Francisci Morales, H. Kwak, Y. Mejova
    “Modeling Gun Culture in United States: Demographics, Networks, Ideologies”
    IC2S2 ’19: International Conference on Computational Social Science, Amsterdam, 2019. [extended abstract]
  • A. Cossard, G. De Francisci Morales, Y. Mejova, D. Paolotti
    “Mapping the Anti-Vaccination Debate in Italy”
    IC2S2 ’19: International Conference on Computational Social Science, Amsterdam, 2019. [extended abstract]
  • K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis
    “Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship”
    IC2S2 ’19: International Conference on Computational Social Science, Amsterdam, 2019. [extended abstract]
  • K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis
    “Reducing Polarization by Connecting Opposing Views”
    IC2S2 ’19: International Conference on Computational Social Science, Amsterdam, 2019. [extended abstract]
  • I. Tsalouchidou, F. Bonchi, G. De Francisci Morales, R. Baeza-Yates
    “Scalable Dynamic Graph Summarization”
    TKDE: IEEE Transactions on Knowledge & Data Engineering, 32(2):360−373, 2018.
  • C. Aslay, M. A. U. Nasir, G. De Francisci Morales, A. Gionis
    “Mining Frequent Patterns in Evolving Graphs”
    CIKM ’18: ACM International Conference on Information and Knowledge Management, pp. 923−932, Torino, 2018.
  • K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis
    “Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship”
    WWW ’18: The Web Conference, pp. 913−922, Lyon, 2018.
  • N. Kourtellis, G. De Francisci Morales, A. Bifet
    “Large-Scale Learning from Data Streams with Apache SAMOA”
    Learning from Data Streams in Evolving Environments, pp. 177−207, Springer, 2018.
  • R. Stanojevic, S. Abbar, S. Thirumuruganathan, G. De Francisci Morales, S. Chawla, F. Filali, A. Aleimat
    “Road Network Fusion for Incremental Map Updates”
    LBS ’18: International Conference on Location Based Services, pp. 91−109, Zurich, 2018.
  • K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis
    “Quantifying Controversy on Social Media”
    TSC: ACM Transactions on Social Computing, 1(1):3, pp. 1−27, 2018.
  • T. Vasiloudis, F. Beligianni, G. De Francisci Morales
    “BoostVHT: Boosting Distributed Streaming Decision Trees”

    CIKM ’17: ACM International Conference on Information and Knowledge Management, pp. 899−908, Singapore, 2017.
  • M. A. U. Nasir, A. Gionis, G. De Francisci Morales, S. Girdzijauskas
    “Fully Dynamic Algorithm for Top-k Densest Subgraphs”

    CIKM ’17: ACM International Conference on Information and Knowledge Management, pp. 1817−1826, Singapore, 2017.
  • M. Serafini, G. De Francisci Morales, G. Siganos
    “QFrag: Distributed Graph Search via Subgraph Isomorphism”
    SoCC ’17: ACM Symposium on Cloud Computing, pp. 214−228, Santa Clara, 2017.
  • P. Lahoti, G. De Francisci Morales, A. Gionis
    “Finding Topical Experts in Twitter via Query-Dependent Personalized PageRank”
    ASONAM ’17: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 155−162, Sydney, 2017.
  • K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis
    “The Effect of Collective Attention on Controversial Debates on Social Media”
    WebSci ’17: ACM International Conference on Web Science, pp. 43−52, Troy, 2017. (best student paper award)
  • K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis
    “Factors in Recommending Contrarian Content on Social Media”
    WebSci ’17: ACM International Conference on Web Science, pp. 263−266, Troy, 2017.
  • E. Hussein, A. Ghanem, V. V. dos Santos Dias, C. H. C. Teixeira, G. AbuOda,
    M. Serafini, G. Siganos, G. De Francisci Morales, A. Aboulnaga, M. Zaki
    “Graph Data Mining with Arabesque”
    SIGMOD ’17: ACM International Conference on Management of Data, pp. 1647−1650, Chicago, 2017. [demo]
  • K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis
    “The Ebb and Flow of Controversial Debates on Social Media”
    ICWSM ’17: International AAAI Conference on Web and Social Media, pp. 524−527, Montreal, 2017.
  • K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis
    “Mary, Mary, Quite Contrary: Exposing Twitter Users to Contrarian News”
    WWW ’17: International World Wide Web Conference, pp. 201−206, Perth, 2017. [demo]
  • K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis
    “Reducing Controversy by Connecting Opposing Views”
    WSDM ’17: ACM International Conference on Web Search and Data Mining, pp. 81−90, Cambridge, 2017. (best student paper award)
  • N. Kourtellis, G. De Francisci Morales, A. Bifet, A. Murdopo
    “VHT: Vertical Hoeffding Tree”
    BigData ’16: IEEE International Conference on Big Data, pp 915−922, Washington, 2016.
  • I. Tsalouchidou, G. De Francisci Morales, F. Bonchi, R. Baeza-Yates
    “Scalable Dynamic Graph Summarization”
    BigData ’16: IEEE International Conference on Big Data, pp 1032−1039, Washington, 2016.
  • P. Micholia, M. Karaliopoulos, I. Koutsopoulos, L. M. Aiello, G. De Francisci Morales, D. Quercia
    “Incentivizing Social Media Users for Mobile Crowdsourcing”
    IJHCS: International Journal of Human-Computer Studies, 2016.
  • D. M. Shankaralingappa,  G. De Francisci Morales, A. Gionis
    “Extracting Skill Endorsements from Personal Communication Data”
    CIKM ’16: ACM International Conference on Information and Knowledge Management, pp. 1961−1964, Indianapolis, 2016.
  • G. De Francisci Morales, A. Bifet, L. Khan, J. Gama, W. Fan
    “IoT Big Data Stream Mining”
    KDD ’16: ACM Conference on Knowledge Discovery and Data Mining, pp. 2119−2120, San Francisco, 2016. [tutorial]
  • G. De Francisci Morales, A. Gionis
    “Streaming Similarity Self-Join”
    PVLDB: Proceedings of the VLDB Endowment, 9(10):792−803, 2016.
  • F. Bonchi, G. De Francisci Morales, M. Riondato
    “Centrentrality Measures on Big Graphs: Exact, Approximated, and Distributed Algorithms”
    WWW ’16: International World Wide Web Conference, pp. 1017−1020, Montreal, 2016. [tutorial]
  • K. Garimella, M. Mathioudakis, G. De Francisci Morales, A. Gionis
    “Exploring Controversy in Twitter”
    CSCW ’16: ACM Conference on Computer-Supported Cooperative Work and Social Computing, pp. 33−36, San Francisco, 2016. [demo]
  • N. Kourtellis, G. De Francisci Morales, F. Bonchi
    “Scalable Online Betweenness Centrality in Evolving Graphs”
    ICDE ’16: IEEE International Conference on Data Engineering, pp. 1580−1581, Helsinki, 2016. [extended abstract]
  • M. A. U. Nasir, G. De Francisci Morales, N. Kourtellis, M. Serafini
    “When Two Choices are not Enough: Balancing at Scale in Distributed Stream Processing”
    ICDE ’16: IEEE International Conference on Data Engineering, pp. 589−600, Helsinki, 2016.
  • K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis
    “Quantifying Controversy in Social Media”
    WSDM ’16: ACM International Conference on Web Search and Data Mining, pp. 33−42, San Francisco, 2016.
  • N. Kourtellis, G. De Francisci Morales, A. Bifet
    “Analyzing Big Data Streams with Apache SAMOA”
    MUSE ’15: Workshop on Mining Ubiquitous and Social Environments, @ECMLPKDD, Porto, 2015.
  • M. A. U. Nasir, G. De Francisci Morales, D. Garcia-Soriano, N. Kourtellis, M. Serafini
    “Partial Key Grouping: Load-Balanced Partitioning of Distributed Streams”
    arXiv:1510.07623, 2015.
  • K. Garimella, G. De Francisci Morales, A. Gionis, M. Sozio
    “Scalable Facility Location for Massive Graphs on Pregel-like Systems”
    CIKM ’15: ACM International Conference on Information and Knowledge Management, pp. 273−282, Melbourne, 2015.
  • A. Bifet, G. De Francisci Morales, J. Read, G. Holmes, B. Pfahringer
    “Efficient Online Evaluation of Big Data Stream Classifiers”
    KDD ’15: ACM Conference on Knowledge Discovery and Data Mining, pp. 59−68, Sydney, 2015.
  • C. Castillo, G. De Francisci Morales, M. Mendoza, N. Khan
    “Automatic analysis of television news: Media, people, framing, and bias”
    IC2S2 ’15: International Conference on Computational Social Science, Helsinki, 2015. [extended abstract]
  • P. Micholia, M. Karaliopoulos, I. Koutsopoulos, L. M. Aiello, G. De Francisci Morales, D. Quercia
    “Getting Jobs Done for the Sharing Economy”
    IC2S2 ’15: International Conference on Computational Social Science, Helsinki, 2015. [extended abstract]
  • N. Kourtellis, G. De Francisci Morales, F. Bonchi
    “Scalable Online Betweenness Centrality in Evolving Graphs”
    TKDE: IEEE Transactions on Knowledge & Data Engineering, 27(9):2494−2506, 2015.
  • M. A. U. Nasir, G. De Francisci Morales, D. Garcia-Soriano, N. Kourtellis, M. Serafini
    “The Power of Both Choices: Practical Load Balancing for Distributed Stream Processing Engines”
    ICDE ’15: IEEE International Conference on Data Engineering, pp. 137−148, Seoul, 2015.
  • G. De Francisci Morales, A. Bifet
    “SAMOA: Scalable Advanced Massive Online Analysis”
    JMLR: Journal of Machine Learning Research, 16(Jan):149−153, 2015.
  • R. Blanco, G. De Francisci Morales, F. Silvestri
    “IntoNews: Online News Retrieval using Closed Captions”
    IP&M: Information Processing & Management, 51(1):148−162, 2015.
  • A. Bifet, G. De Francisci Morales
    “Big Data Stream Learning with SAMOA”
    ICDM ’14: IEEE International Conference on Data Mining, pp. 1199−1202, Shenzhen, 2014. [demo]
  • A. T. Vu, G. De Francisci Morales, J. Gama, A. Bifet
    “Distributed Adaptive Model Rules for Mining Big Data Streams”
    BigData ’14: IEEE International Conference on Big Data, pp. 345−353, Washington, 2014.
  • B. Thomée, G. De Francisci Morales
    “Automatic Discovery of Global and Local Equivalence Relationships in Labeled Geo-Spatial Data”
    HT ’14: ACM Conference on Hypertext and Social Media, pp. 158−168, Santiago, 2014.
  • D. Marron, A. Bifet, G. De Francisci Morales
    “Random Forests of Very Fast Decision Trees on GPU for Mining Evolving Big Data Streams”
    ECAI ’14: European Conference on Artificial Intelligence, pp. 615−620, Prague, 2014.
  • S. Gonzalez-Bailon, G. De Francisci Morales, M. Mendoza, N. Khan, C. Castillo
    “Cable News Coverage and Online News Stories: A Large-Scale Comparison of Media Bias”
    SSRN preprint 2389525, 2014.
  • C. Castillo, G. De Francisci Morales, M. Mendoza, N. Khan
    “Says who? Automatic Text-Based Content Analysis of Television News”
    MNLP ’13: Workshop on Mining unstructured big data using Natural Language Processing, @CIKM, pp. 53−60, Burlingame, 2013.
  • M. Das, G. De Francisci Morales, A. Gionis, I. Weber
    “Learning to Question: Leveraging User Preferences for Shopping Advice”
    KDD ’13: ACM Conference on Knowledge Discovery and Data Mining, pp. 203−211, Chicago, 2013.
  • F. Bonchi, G. De Francisci Morales, A. Gionis, A. Ukkonen
    “Activity Preserving Graph Simplification”
    DMKD: Data Mining and Knowledge Discovery, 27(3):321−343, 2013.
  • C. Castillo, G. De Francisci Morales, A. Shekhawat
    “Online Matching of Web Content to Closed Captions in IntoNow”
    SIGIR ’13: ACM International Conference on Research and Development in Information Retrieval, pp. 1115−1116, Dublin, 2013. [demo]
  • G. De Francisci Morales
    “SAMOA: A Platform for Mining Big Data Streams”
    RAMSS ’13: International Workshop on Real-Time Analysis and Mining of Social Streams, @WWW, pp. 777−778, Rio De Janeiro, 2013. [extended abstract]
  • R. Blanco, G. De Francisci Morales, F. Silvestri
    “Towards Leveraging Closed Captions for News Retrieval”
    WWW ’13: International World Wide Web Conference, pp. 135−136, Rio de Janeiro, 2013. [poster]
  • G. De Francisci Morales, A. Shekhawat
    “The Future of Second Screen Experience”
    Workshop on Exploring and Enhancing the User Experience for Television, @CHI, Paris, 2013.
  • I. Bordino, G. De Francisci Morales, I. Weber, F. Bonchi
    “From Machu_Picchu to “rafting the urubamba river”: Anticipating Information Needs via the Entity-Query Graph”
    WSDM ’13: ACM International Conference on Web Search and Data Mining, pp. 275−284, Rome, 2013.
  • G. De Francisci Morales, A. Gionis, C. Lucchese
    “From Chatter to Headlines: Harnessing the Real-Time Web for Personalized News Recommendation”
    WSDM ’12: ACM International Conference on Web Search and Data Mining, pp. 153−162, Seattle, 2012.
  • G. De Francisci Morales, A. Gionis, M. Sozio
    “Social Content Matching in MapReduce”
    PVLDB: Proceedings of the VLDB Endowment, 4(7):460−469, 2011.
  • R. Baraglia, G. De Francisci Morales, C. Lucchese
    “Document Similarity Self-Join with MapReduce”
    ICDM ’10: IEEE International Conference on Data Mining, pp. 731−736, Sydney, 2010.
  • G. De Francisci Morales, C. Lucchese, R. Baraglia
    “Scaling Out All Pairs Similarity Search with MapReduce”
    LSDS-IR ’10: Workshop on Large-Scale Distributed Systems for Information Retrieval, @SIGIR, pp. 25−30, Geneva, 2010.
  • G. De Francisci Morales, C. Lucchese, R. Baraglia
    “Large-scale Data Analysis on the Cloud”
    XXIV Convegno Annuale del CMG-Italia, Rome, 2010. (best paper award)
  • M. Iacono-Manno, M. Fargetta, R. Barbera, A. Falzone, G. Andronico, S. Monforte, A. Muoio, R. Bruno, P. Di Primo, S. Orlando, E. Leggio, A. Lombardo, G. Passaro, G. De Francisci Morales, S. Blandino
    “The Sicilian Grid Infrastructure for High Performance Computing”
    IJDST: International Journal of Distributed Systems and Technologies, 1(1):40−54, 2010.
  • V. Catania. G. De Francisci Morales, A. Di Nuovo, M. Palesi, D. Patti
    “An Effective Methodology to Multi-objective Design of Application Domain-specific Embedded Architectures”
    DSD ’09: 12th Euromicro Conference on Digital System Design, pp. 643−650, Patras, 2009.
  • V. Catania. G. De Francisci Morales, A. Di Nuovo, M. Palesi, D. Patti
    “Multi-objective Design Space Exploration of Embedded Systems in a Grid Environment”
    Workshop finale dei Progetti Grid PON Ricerca 2000−2006, pp. 80−81, Catania, 2009.
  • V. Catania. G. De Francisci Morales, A. Di Nuovo, M. Palesi, D. Patti
    “High Performance Computing for Embedded System Design: A Case Study”
    DSD ’08: 11th Euromicro Conference on Digital System Design, pp. 656−659, Parma, 2008.

Invited Talks & Presentations

  • “How I Learned to Stop Worrying and Love the Risk”,
    Keynote MIDAS workshop @ECMLPKDD, 17 Sep 2021. [slides]
  • “Controversy on Social Media: Collective Attention, Echo Chambers, and Price of Bipartisanship”
    Controverse Workshop, Montpellier, 22 Nov 2019. [slides]
  • “Controversy on Social Media: Collective Attention, Echo Chambers, and Price of Bipartisanship”
    Telecom ParisTech, Paris, 4 Jul 2019. [slides]
  • “Controversy on Social Media: Collective Attention, Echo Chambers, and Price of Bipartisanship”
    EPFL, Lausanne, 19 Sep 2018. [slides]
  • “Quantifying and Reducing Controversy in Social Media”
    IIIT, Hyderabad, 27 Jun 2018. [slides]
  • “Quantifying and Reducing Controversy in Social Media”
    QCRI, Doha, 3 May 2017. [slides]
  • “Big Data Streams: The Next Frontier”
    KTH, Stockholm, 24 Jun 2015. [slides]
  • “To Stream or Not To Stream? The Landscape of Online Analytics”
    EVAM Solutions Day, Istanbul, 28 May 2015. [slides]
  • “Mining Big Data Streams: Better Algorithms or Faster Systems?”
    KAIST, Seoul, 20 April 2015. [slides]
  • “SAMOA: A Platform for Mining Big Data Streams”
    Strata ’14, Barcelona, 20 Nov 2014. [slides]
  • “Mining Big Data Streams”
    Workshop on “Online Social Networks: Emerging Trends”, University of Cyprus, Nicosia, 8 Oct 2014. [slides]
  • “SAMOA: A Platform for Mining Big Data Streams”
    University Federico Santa Maria / University of Chile / University of Santiago, Santiago de Chile, Aug 2014. [slides]
  • “SAMOA: Scalable Advanced Massive Online Analysis”
    NoSQL Matters ’13, Barcelona, 30 Nov 2013. [video|slides]
  • “SAMOA: A Platform for Mining Big Data Streams”
    Keynote RAMSS ’13 @WWW, Rio De Janeiro, 14 May 2013. [slides]
  • “Big Data and the Web”
    IMT Institute for Advanced Studies, Lucca, 21 March 2012. [slides]
  • “Harnessing the Real-Time Web for Personalized News Recommendation”
    Yahoo! Labs, Sunnyvale, 16 February 2012. [slides]
  • “Big Data and the Web: Algorithms for Data Intensive Scalable Computing”
    WSDM’12 Doctoral Consortium,  Seattle, 8 February 2012.
  • “Social Content Matching in MapReduce”
    Yahoo! Research, Barcelona, 10 March 2011. [slides]
  • “Cloud Computing for Large Scale Data Analysis”
    Yahoo! Research, Barcelona, 2 December 2010. [slides]
  • “Scaling Out All Pairs Similarity Search with MapReduce”
    Summer School on Social Networks, Lipari, 6 July 2010. [slides]
  • “How to Survive the Data Deluge: Petabyte Scale Cloud Computing”
    ISTI-CNR, Pisa, 18 January 2010. [slides]

Patents

  • “Two methods for matching social content in MapReduce architecture”
  • “An automatic method to build flowcharts for e-shopping recommendations”
  • “An information retrieval method for online news suggestion using closed captions”
  • “A system for recommending relevant Web content to second-screen application users”

Community Service

  • Chair: SNOW ’13-14-16-17 (Social News on the Web, workshop @WWW). [web]
  • Tutorial:
    “Learning from Big Data Streams: Algorithm and System Design” @EAIA ’18 Advanced School on Data Science for Big Data [web]
    “Polarization on Social Media” @ICWSM ’17, @WWW ’18, @KDD ’18, @EuroCSS ’19. [web]
    “IoT Big Data Stream Mining” @KDD ’16, @CIKM ’16, @AAAI ’17, @SDM ’17. [web]
    “Centrality Measures on Big Graphs: Exact, Approximated, and Distributed Algorithms” @WWW ’16. [web]
    “Big Data Stream Mining” @IEEE BigData ’14. [web|slides]
  • Senior PC member / Area chair:
    • WSDM ’23
    • WWW ’23
    • ICWSM ’22-23
    • WebSci ’23
    • ICDM ’21
    • AAAI ’21
    • ECMLPKDD ’21-22
    • EuroPar ’18
  • PC member:
    • WSDM ’13-14-16-17-18-19-20-21
    • WWW ’14-16-17-18-19-20-21-22
    • ICWSM ’14-17-18-19-20-21-22
    • KDD ’15-16-17-18-21-22-23
    • WebSci ’20-21-22
    • SDM ’22
    • ICDM ’16-17-18-19-20
    • IC2S2 ’23
    • NetSci ’20
    • CIKM ’14-15-17
    • IJCAI ’15-17
    • ECMLPKDD ’15-16
      —
    • NECO ’20
    • BigMine ’14-15-16-17-18-19
    • NLP4IF ’19
    • LSRS ’15-16-17
    • DSSD ’17
    • MAISoN ’17
    • IIR ’15-16
    • SMNews ’16
    • RTStreams ’15
  • External reviewer: KDD ’12, ICDE ’13, ICDM ’14, KDD ’14, ICALP ’14.
  • Reviewer: TWEB, TKDE, TKDD, WWWJ, VLDBJ, KAIS, PARCO, MACH, JPDC, Network Science, PeerJ.

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