Publications

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2020
S. Yan, H. Hosseinmardi, H. - T. Kao, S. Narayanan, K. Lerman, and E. Ferrara, "Affect Estimation with Wearable Sensors", Journal of Healthcare Informatics Research: Springer International Publishing, pp. 1–34, 2020.
N. Tavabi, A. Abeliuk, N. Mokhberian, J. Abramson, and K. Lerman, "Challenges in Forecasting Malicious Events from Incomplete Data", Companion Proceedings of the Web Conference 2020, pp. 603–610, 2020.
G. Muric, K. Lerman, and E. Ferrara, "COVID-19 amplifies gender disparities in research", arXiv preprint arXiv:2006.06142, 2020.
K. Burghardt, N. Tavabi, E. Ferrara, S. Narayanan, and K. Lerman, "Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors", arXiv preprint arXiv:2008.01723, 2020.
G. Murić, A. Tregubov, J. Blythe, A. Abeliuk, D. Choudhary, K. Lerman, and E. Ferrara, "Massive Cross-Platform Simulations of Online Social Networks", Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, pp. 895–903, 2020.
J. Jiang, E. Chen, K. Lerman, and E. Ferrara, "Political Polarization Drives Online Conversations About COVID-19 in the United States", Human Behavior and Emerging Technologies: John Wiley & Sons, Inc, 2020.
A. Abeliuk, Z. Huang, E. Ferrara, and K. Lerman, "Predictability limit of partially observed systems", arXiv preprint arXiv:2001.06547, 2020.
E. Chen, K. Lerman, and E. Ferrara, "Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set", JMIR Public Health and Surveillance, vol. 6, no. 2: JMIR Publications Inc., Toronto, Canada, pp. e19273, 2020.
2019
N. Tavabi, N. Bartley, A. Abeliuk, S. Soni, E. Ferrara, and K. Lerman, "Characterizing Activity on the Deep and Dark Web", Companion Proceedings of the 2019 World Wide Web Conference, pp. 206–213, 2019.
A. Badawy, A. Addawood, K. Lerman, and E. Ferrara, "Characterizing the 2016 Russian IRA Influence Campaign", Social Network Analysis and Mining, vol. 9, no. 31, 2019.
G. Murić, A. Abeliuk, K. Lerman, and E. Ferrara, "Collaboration Drives Individual Productivity", Proceedings of the ACM on Human-Computer Interaction, vol. 3, no. CSCW: ACM New York, NY, USA, pp. 1–24, 2019.
M. Wildman, R. Eulogio, R. Singh, E. Ramirez, L. Foschini, A. Nadarajan, B. M. Booth, K. Mundnich, E. Ferrara, K. Lerman, and others, "Comparison of heart rate measurement between the Fitbit Charge 2 and OmSignal smart garments: A free-living study", Annals of Behavioral Medicine, vol. 53: OXFORD UNIV PRESS INC, pp. S81, 2019.
J. Blythe, E. Ferrara, D. Huang, K. Lerman, G. Muric, A. Sapienza, A. Tregubov, D. Pacheco, J. Bollenbacher, A. Flammini, P. - M. Hui, and F. Menczer, "The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem", International Conference on Practical Applications of Agents and Multi-Agent Systems AAMAS, 2019.
J. Blythe, E. Ferrara, D. Huang, K. Lerman, G. Muric, A. Sapienza, A. Tregubov, D. Pacheco, J. Bollenbacher, A. Flammini, and others, "The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem", Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, pp. 1835–1837, 2019.
S. Yan, H. Hosseinmardi, H. - T. Kao, S. Narayanan, K. Lerman, and E. Ferrara, "Estimating individualized daily self-reported affect with wearable sensors", 2019 IEEE International Conference on Healthcare Informatics (ICHI): IEEE, pp. 1–9, 2019.
N. Tavabi, H. Hosseinmardi, J. L. Villatte, A. Abeliuk, S. Narayanan, E. Ferrara, and K. Lerman, "Learning Behavioral Representations from Wearable Sensors", arXiv preprint arXiv:1911.06959, 2019.
M. L'Hommedieu, J. L'Hommedieu, C. Begay, A. Schenone, L. Dimitropoulou, G. Margolin, T. Falk, E. Ferrara, K. Lerman, and S. Narayanan, "Lessons learned: Recommendations for implementing a longitudinal study using wearable and environmental sensors in a health care organization", JMIR mHealth and uHealth, vol. 7, no. 12: JMIR Publications Inc., Toronto, Canada, pp. e13305, 2019.
A. Addawood, A. Badawy, K. Lerman, and E. Ferrara, "Linguistic cues to deception: Identifying political trolls on social media", Proceedings of the International AAAI Conference on Web and Social Media, vol. 13, pp. 15–25, 2019.
J. Blythe, E. Ferrara, D. Huang, K. Lerman, G. Muric, A. Sapienza, A. Tregubov, D. Pacheco, J. Bollenbacher, A. Flammini, P. - M. Hui, and F. Menczer, "Massive Multi-Agent Data-Driven Simulationsof the GitHub Ecosystem", International Conference on Autonomous Agents and Multiagent Systems PAAMS, 2019.
A. Badawy, K. Lerman, and E. Ferrara, "Who Falls for Online Political Manipulation?", Companion Proceedings of the 2019 World Wide Web Conference, pp. 162–168, 2019.
2018
K. Lerman, "Computational social scientist beware: Simpson's paradox in behavioral data", Journal of Computational Social Science, vol. 1, no. 1, pp. 49–58, Jan, 2018. Abstract
K. Lerman, "Computational social scientist beware: Simpson's paradox in behavioral data", Journal of Computational Social Science, vol. 1, no. 1, pp. 49–58, Jan, 2018. Abstract
H. Hosseinmardi, H. - T. Kao, K. Lerman, and E. Ferrara, "Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization", HeteroNAM 2018: First International Workshop on Heterogeneous Networks Analysis and Mining, 2018.
K. Lerman, L. G. Marin, M. Arora, L. C. H. de Lima, E. Ferrara, and D. Garcia, "Language, demographics, emotions, and the structure of online social networks", Journal of Computational Social Science, vol. 1, no. 1: Springer Singapore, pp. 209–225, 2018.
A. Badawy, E. Ferrara, and K. Lerman, "Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign", Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2018, pp. 258–265, 2018.