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Research Area: Machine Learning, Econ and Social Sys |
Profile
Jake is a member of the Human Social Dynamics group in New York. His work involves data-driven modeling of complex systems, focusing on applications of machine learning and statistical inference to large-scale network data. He holds a B.S. in Electrical Engineering from Boston University and a Ph.D. in Physics from Columbia University.
Recent Publications, Projects and News
- Predicting consumer behavior with Web search Sharad Goel; Jake M. Hofman; Sebastien Lahaie; David M. Pennock; Duncan J. Watts, Proceedings of the National Academy of Sciences, 2010 [view abstract]
- Inferring Relevant Social Networks from Interpersonal Communication Munmun De Choudhury; Winter A. Mason; Jake M. Hofman; Duncan J. Watts, WWW 2010: Proceedings of the 19th international conference on World Wide Web, 2010
- Centmail: Rate Limiting via Certified Micro-Donations Sharad Goel; Jake Hofman; John Langford; David M. Pennock; Daniel M. Reeves, Conference on Email and Anti-Spam (CEAS), 2009
- Characterizing Individual Communication Patterns Dean Malmgren; Jake Hofman; Luís Amaral; Duncan Watts, KDD 2009, 2009