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.
Kenkyuu 