| The rise of social bots E Ferrara, O Varol, C Davis, F Menczer, A Flammini Communications of the ACM 59 (7), 96-104, 2016 | 2692 | 2016 |
| The spread of low-credibility content by social bots C Shao, GL Ciampaglia, O Varol, KC Yang, A Flammini, F Menczer Nature Communications 9 (4787), 2018 | 1799* | 2018 |
| Online human-bot interactions: Detection, estimation, and characterization O Varol, E Ferrara, CA Davis, F Menczer, A Flammini International AAAI Conference on Web and Social Media, 280-289, 2017 | 1410 | 2017 |
| Botornot: A system to evaluate social bots CA Davis, O Varol, E Ferrara, A Flammini, F Menczer Proceedings of the 25th international conference companion on world wide web …, 2016 | 1123 | 2016 |
| The darpa twitter bot challenge VS Subrahmanian, A Azaria, S Durst, V Kagan, A Galstyan, K Lerman, ... Computer 49 (6), 38-46, 2016 | 559 | 2016 |
| Arming the public with artificial intelligence to counter social bots KC Yang, O Varol, CA Davis, E Ferrara, A Flammini, F Menczer Human Behavior and Emerging Technologies 1 (1), 48-61, 2019 | 512 | 2019 |
| Network medicine framework for identifying drug-repurposing opportunities for COVID-19 D Morselli Gysi, Í Do Valle, M Zitnik, A Ameli, X Gan, O Varol, ... Proceedings of the National Academy of Sciences 118 (19), e2025581118, 2021 | 432 | 2021 |
| Scalable and generalizable social bot detection through data selection KC Yang, O Varol, PM Hui, F Menczer AAAI 2020, 2019 | 369 | 2019 |
| Measuring the predictability of life outcomes with a scientific mass collaboration MJ Salganik, I Lundberg, AT Kindel, CE Ahearn, K Al-Ghoneim, ... Proceedings of the National Academy of Sciences 117 (15), 8398-8403, 2020 | 289 | 2020 |
| Detection of novel social bots by ensembles of specialized classifiers M Sayyadiharikandeh, O Varol, KC Yang, A Flammini, F Menczer Proceedings of the 29th ACM international conference on information …, 2020 | 273 | 2020 |
| Predicting online extremism, content adopters, and interaction reciprocity E Ferrara, WQ Wang, O Varol, A Flammini, A Galstyan 8th International Conference, SocInfo 2016 10047, 22-39, 2016 | 197 | 2016 |
| Evolution of online user behavior during a social upheaval O Varol, E Ferrara, CL Ogan, F Menczer, A Flammini Proceedings of the 2014 ACM conference on Web science, 81-90, 2014 | 150 | 2014 |
| Early Detection of Promoted Campaigns on Social Media O Varol, E Ferrara, F Menczer, A Flammini EPJ Data Science 6 (1), 13, 2017 | 143 | 2017 |
| Detection of promoted social media campaigns E Ferrara, O Varol, F Menczer, A Flammini Tenth International AAAI Conference on Web and Social Media (ICWSM), 2016 | 95 | 2016 |
| Clustering memes in social media E Ferrara, M JafariAsbagh, O Varol, V Qazvinian, F Menczer, A Flammini Proceedings of the 2013 IEEE/ACM international conference on advances in …, 2013 | 94 | 2013 |
| Tackling misinformation: What researchers could do with social media data IV Pasquetto, B Swire-Thompson, MA Amazeen, F Benevenuto, ... The Harvard Kennedy School Misinformation Review, 2020 | 90 | 2020 |
| Nature’s reach: narrow work has broad impact AJ Gates, Q Ke, O Varol, AL Barabási Nature 575 (7781), 32-34, 2019 | 90 | 2019 |
| The minute-scale dynamics of online emotions reveal the effects of affect labeling R Fan, O Varol, A Varamesh, A Barron, IA van de Leemput, M Scheffer, ... Nature Human Behaviour 3 (1), 92-100, 2019 | 88* | 2019 |
| Traveling trends: Social butterflies or frequent fliers? E Ferrara, O Varol, F Menczer, A Flammini Proceedings of the first ACM conference on Online social networks, 213-222, 2013 | 81 | 2013 |
| What is gained and what is left to be done when content analysis is added to network analysis in the study of a social movement: Twitter use during Gezi Park C Ogan, O Varol Information, Communication & Society 20 (8), 1220-1238, 2017 | 77 | 2017 |
Emilio FerraraProfessor of Computer Science at the University of Southern California在 usc.edu 的电子邮件经过验证
