Publications

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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.
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, 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.
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.
N. Alipourfard, P. Fennell, and K. Lerman, "Can you Trust the Trend? Discovering Simpson", Proceedings of the 11th International ACM Conference on Web Search and Data Mining: ACM, 2018. Abstract
N. Alipourfard, P. Fennell, and K. Lerman, "Can you Trust the Trend? Discovering Simpson", Proceedings of the 11th International ACM Conference on Web Search and Data Mining (WSDM): ACM, 2018. Abstract
N. Tavabi, P. Goyal, M. Almukaynizi, P. Shakarian, and K. Lerman, "DarkEmbed: Exploit Prediction with Neural Language Models", Proceedings of AAAI Conference on Innovative Applications of AI (IAAI2018), 2018.
N. Tavabi, P. Goyal, M. Almukaynizi, P. Shakarian, and K. Lerman, "DarkEmbed: Exploit Prediction with Neural Language Models", Proceedings of AAAI Conference on Innovative Applications of AI (IAAI2018), 2018.
A. Sapienza, S. K. Ernala, A. Bessi, K. Lerman, and E. Ferrara, "DISCOVER: Mining Online Chatter for Emerging Cyber Threats", Proceedings of WWW Companion for the Third International Workshop on Computational Methods for CyberSafety, 2018.
K. Burghardt, T. Hogg, and K. Lerman, "Quantifying the Impact of Cognitive Biases in Question-Answering Systems", Proceedings of the 12th International AAAI Conference On Web And Social Media (ICWSM2018): AAAI, 2018. Abstract
N. Alipourfard, P. G. Fennell, and K. Lerman, "Using Simpson", Proceedings of the 12th International AAAI Conference On Web And Social Media (ICWSM2018): AAAI, 2018. Abstract
N. Alipourfard, P. G. Fennell, and K. Lerman, "Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data", Proceedings of the 12th International AAAI Conference On Web And Social Media (ICWSM2018): AAAI, 2018. Abstract
2017
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, Oct, 2017. Abstract
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, Oct, 2017. Abstract
J. L. Ambite, L. Fierro, F. Geigl, J. Gordon, G. A. P. C. Burns, K. Lerman, J. Kamdar, C. Stewart, A. Bhattrai, X. Lei, S. Abe, and J. D. V. Horn, "The BD2K Training Coordinating Center’s Data Science Education Platform", American Medical Informatics Association Annual Symposium, Washington, DC, November, 2017.
J. -hyung Kang, and K. Lerman, "Effort Mediates Access to Information in Online Social Networks", ACM Transactions on the Web, vol. 11, no. 1, New York, NY, USA, ACM, pp. 3:1–3:19, mar, 2017.
J. -hyung Kang, and K. Lerman, "Effort Mediates Access to Information in Online Social Networks", ACM Transactions on the Web, vol. 11, no. 1, New York, NY, USA, ACM, pp. 3:1–3:19, mar, 2017.
X. - Z. Wu, A. G. Percus, and K. Lerman, "Neighbor-Neighbor Correlations Explain Measurement Bias in Networks", Scientific Reports, vol. 7, no. 5576: Nature Publishing Group} doi = {doi:10.1038/s41598-017-06042-0, jul, 2017.
X. - Z. Wu, A. G. Percus, and K. Lerman, "Neighbor-Neighbor Correlations Explain Measurement Bias in Networks", Scientific Reports, vol. 7, no. 5576: Nature Publishing Group} doi = {doi:10.1038/s41598-017-06042-0, jul, 2017.
E. Ferrara, N. Alipourfard, K. Burghardt, C. Gopal, and K. Lerman, "Dynamics of Content Quality in Collaborative Knowledge Production", Proceedings of the Eleventh International AAAI Conference on Web and Social Media (ICWSM 2017), pp. 520–523, 2017.
A. Sapienza, A. Bessi, S. Damodaran, P. Shakarian, K. Lerman, and E. Ferrara, "Early Warnings of Cyber Threats in Online Discussions", 2017 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 667–674, 2017.
F. Kooti, M. Grbovic, L. M. Aiello, N. Djuric, V. Radosavljevic, and K. Lerman, "Analyzing the Ride-sharing Economy", Proceedings of the 26th International World Wide Web Conference (Companion WWW2017), 2017. Abstract