| Quantifying Controversy in Social Media K Garimella, G De Francisci Morales, A Gionis, M Mathioudakis WSDM '16: 9th ACM International Conference on Web Search and Data Mining, 2016 | 322 | 2016 |
| Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship K Garimella, G De Francisci Morales, A Gionis, M Mathioudakis WWW '18: 27th International World Wide Web Conference, 2018 | 277 | 2018 |
| The Echo Chamber Effect on Social Media M Cinelli, G De Francisci Morales, A Galeazzi, W Quattrociocchi, ... PNAS: Proceedings of the National Academy of Sciences 118 (9), 2021 | 262* | 2021 |
| SAMOA: Scalable Advanced Massive Online Analysis G De Francisci Morales, A Bifet JMLR: Journal of Machine Learning Research 16, 149-153, 2015 | 207* | 2015 |
| From Chatter to Headlines: Harnessing the Real-Time Web for Personalized News Recommendation G De Francisci Morales, A Gionis, C Lucchese WSDM '12: 5th ACM International Conference on Web Search and Data Mining …, 2012 | 180 | 2012 |
| Efficient Online Evaluation of Big Data Stream Classifiers A Bifet, G De Francisci Morales, J Read, G Holmes, B Pfahringer KDD '15: 21th ACM International Conference on Knowledge Discovery and Data …, 2015 | 179 | 2015 |
| The Power of Both Choices: Practical Load Balancing for Distributed Stream Processing Engines MAU Nasir, G De Francisci Morales, D García-Soriano, N Kourtellis, ... ICDE '15: 31st IEEE International Conference on Data Engineering, 137-148, 2015 | 165 | 2015 |
| Reducing Controversy by Connecting Opposing Views K Garimella, G De Francisci Morales, A Gionis, M Mathioudakis WSDM '17: 10th ACM International Conference on Web Search and Data Mining, 81-90, 2017 | 155 | 2017 |
| Document Similarity Self-Join with MapReduce R Baraglia, G De Francisci Morales, C Lucchese ICDM '10: 10th IEEE International Conference on Data Mining, 731-736, 2010 | 128 | 2010 |
| Scalable Online Betweenness Centrality in Evolving Graphs N Kourtellis, G De Francisci Morales, F Bonchi TKDE: IEEE Transactions on Knowledge & Data Engineering 27 (9), 2494-2506, 2015 | 108 | 2015 |
| SAMOA: A Platform for Mining Big Data Streams G De Francisci Morales RAMSS '13: 2nd International Workshop on Real-Time Analysis and Mining of …, 2013 | 108 | 2013 |
| When Two Choices are not Enough: Balancing at Scale in Distributed Stream Processing MAU Nasir, G De Francisci Morales, N Kourtellis, M Serafini ICDE '16: 32nd IEEE International Conference on Data Engineering, 2016 | 89 | 2016 |
| IoT Big Data Stream Mining G De Francisci Morales, A Bifet, L Khan, J Gama, W Fan KDD '16: 22nd ACM International Conference on Knowledge Discovery and Data …, 2016 | 81 | 2016 |
| Falling into the Echo Chamber: the Italian Vaccination Debate on Twitter A Cossard, G De Francisci Morales, K Kalimeri, Y Mejova, D Paolotti, ... ICWSM ’20: International AAAI Conference on Web and Social Media, 2020 | 70 | 2020 |
| Big Data Stream Learning with SAMOA A Bifet, G De Francisci Morales ICDM '14: 14th IEEE International Conference on Data Mining, 1199-1202, 2014 | 64 | 2014 |
| Social Content Matching in MapReduce G De Francisci Morales, A Gionis, M Sozio PVLDB: Proceedings of the VLDB Endowment 4 (7), 460-469, 2011 | 57* | 2011 |
| Method and system for displaying content relating to a subject matter of a displayed media program G De Francisci Morales, R Blanco, F Silvestri US Patent 9817911B2, 2017 | 51* | 2017 |
| From Machu_Picchu to "rafting the urubamba river": Anticipating Information Needs via the Entity-Query Graph I Bordino, G De Francisci Morales, I Weber, F Bonchi WSDM '13: 6th ACM International Conference on Web Search and Data Mining …, 2013 | 50 | 2013 |
| VHT: Vertical Hoeffding Tree N Kourtellis, G De Francisci Morales, A Bifet, A Murdopo BigData '16: 4th IEEE International Conference on Big Data, 915-922, 2016 | 47 | 2016 |
| Streaming Similarity Self-Join G De Francisci Morales, A Gionis PVLDB: Proceedings of the VLDB Endowment 9 (10):792-803, 2016 | 35* | 2016 |
Aristides GionisKTH Royal Institute of Technology, and Aalto UniversityVerified email at kth.se
