Kristina Lerman
Affiliations: | Computer Science | University of Southern California, Los Angeles, CA, United States |
Area:
Computer ScienceGoogle:
"Kristina Lerman"Children
Sign in to add trainee| Anon Plangprasopchok | grad student | 2010 | USC |
| Rumi Ghosh | grad student | 2012 | USC |
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Publications
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| Ngo SC, Percus AG, Burghardt K, et al. (2020) The transsortative structure of networks. Proceedings. Mathematical, Physical, and Engineering Sciences. 476: 20190772 |
| Chen E, Lerman K, Ferrara E. (2020) #COVID-19: A Public Coronavirus Twitter Dataset Tracking Social Media Discourse about the Pandemic. Jmir Public Health and Surveillance |
| Alipourfard N, Nettasinghe B, Abeliuk A, et al. (2020) Friendship paradox biases perceptions in directed networks. Nature Communications. 11: 707 |
| Nettasinghe B, Krishnamurthy V, Lerman K. (2020) Diffusion in Social Networks: Effects of Monophilic Contagion, Friendship Paradox and Reactive Networks Ieee Transactions On Network Science and Engineering. 7: 1121-1132 |
| Fennell PG, Zuo Z, Lerman K. (2019) Predicting and explaining behavioral data with structured feature space decomposition Epj Data Science. 8 |
| Ambite JL, Fierro L, Gordon J, et al. (2019) BD2K Training Coordinating Center's ERuDIte: the Educational Resource Discovery Index for Data Science Ieee Transactions On Emerging Topics in Computing. 1-1 |
| Badawy A, Addawood A, Lerman K, et al. (2019) Characterizing the 2016 Russian IRA influence campaign Social Network Analysis and Mining. 9 |
| Wu XZ, Fennell PG, Percus AG, et al. (2018) Degree correlations amplify the growth of cascades in networks. Physical Review. E. 98: 022321 |
| Deb A, Lerman K, Ferrara E. (2018) Predicting Cyber-Events by Leveraging Hacker Sentiment Information. 9: 280 |
| Espín-Noboa L, Wagner C, Karimi F, et al. (2018) Towards Quantifying Sampling Bias in Network Inference Arxiv: Social and Information Networks. 1277-1285 |