Funded projects

  • 2012-2013: Early Model-Based Event Recognition with Surrogates, Open Source Indicators (OSI) Program, IARPA.
  • 2011-2014: “Meme Diffusion Through Mass Social Media”, NSF ICES #CCF-1101743, co-PI with Filippo Menczer, Alessandro Flammini, and Alessandro Vespignani
  • 2010-2011: Developing a Generalized and Sustainable Framework for a Public, Open, Scholarly Assessment Service Based on Aggregated Large-scale Usage Data, Andrew W. Mellon foundation
  • 2010-2010: Models of social contagion of charitable sentiment towards Haiti on Twitter. NSF-BCS
  • 2009-2012: Tracking Scientific Innovation from Usage Data, NSF, SciSIP
  • 2006-2008: MESUR: Usage-based metrics for the Andrew W. Mellon Foundation.

Meme diffusion

How does information propagate through social networks? How can we model the information itself? Please have a look at the Truthy project!

Social media ~ Science

Do social media affect scholarly communication? Do papers that get more Twitter mentions also get more citations? Check out: Shuai X, Pepe A, Bollen J (2012) How the Scientific Community Reacts to Newly Submitted Preprints: Article Downloads, Twitter Mentions, and Citations. PLoS ONE 7(11): e47523. doi:10.1371/journal.pone.0047523

Markets and sentiment

Modeling collective mood states with applications to financial market prediction: Johan Bollen, Huina Mao, and Xiao-Jun Zeng. Twitter mood predicts the stock market. Journal of Computational Science, 2(1), March 2011, Pages 1-8, doi:10.1016/j.jocs.2010.12.007, arxiv: abs/1010.3003.

Metrics from usage data

Aggregating and normalizing large-scale usage data to model science in real-time. See MESUR project, and: Bollen J, Van de Sompel H, Hagberg A, Bettencourt L, Chute R, et al. (2009) Clickstream Data Yields High-Resolution Maps of Science. PLoS ONE 4(3): e4803. doi:10.1371/journal.pone.0004803