Working Papers

C. E. Marks and T. Zaman, A Multi-Urn Model for Network Search

C. E. Marks and T. Zaman, Building a Location-Based Set of Social Media Users

D. S. Hunter and T. Zaman, Picking Winners: A Framework for Venture Capital Investment

 D. S. Hunter, J. P. Vielma, and T. Zaman, Picking Winners Using Integer Programming

Z. Wang and T. Zaman, Learning Preferences and User Engagement Using Choice and Time Data

C. Mundell, J.P. Vielma, and T. Zaman, Predicting Performance Under Stressful Conditions Using Galvanic Skin Response

Journal

J. Klausen, C. E. Marks, and T. Zaman, Finding Online Extremists in Social Networks (accepted in Operations Research)

D. Shah and T. Zaman, Finding Rumor Sources on Random Trees
Operations Research 64.3 (2016): 736-755.

T. Zaman, E. B. Fox, and E. T. Bradlow, A Bayesian Approach for Predicting the Popularity of Tweets
The Annals of Applied Statistics, Volume 8, Number 3 (September 2014), 1583-1611.

S. Bhamidi, J. M. Steele, and T. Zaman, Twitter Event Networks and the Superstar Model
The Annals of Applied Probability, Volume 25, Number 5 (October 2015), 2462-2502.

D. Shah and T. Zaman, Rumors in a Network: Who’s the Culprit?
IEEE Transactions on Information Theory, vol. 57, pp. 5163-5181, August 2011.
[Arxiv version]

Conference

D. Shah and T. Zaman, Community Detection in Networks: The Leader-Follower Algorithm, Workshop on Networks Across Disciplines in Theory and Applications, NIPS 2010. [Arxiv version].

T. Zaman, R. Herbrich, J. Van Gael, and D. Stern, Predicting Information Spreading in Twitter, Workshop on Computational Social Science and the Wisdom of Crowds , NIPS 2010.

D. Shah and T. Zaman, Detecting Sources of Computer Viruses in Networks: Theory and Experiment, ACM Sigmetrics 2010. [slides]

Thesis

T. Zaman, Information Extraction with Network Centrality: Finding Rumor Sources and Measuring Influence, Research supervisor: Prof. Devavrat Shah, 2011.