Who’s who.
Social network constructed from usage of scholarly resources recorded in the California State University System from November 2003 until August 2005.
PageRank for impact ranking
PageRank when applied to a journal citation network extracted from the 2003 Journal Citation Reports (Thomson Scientific) can rank journals more accurately according to their prestige than the Impact Factor
Johan Bollen, Marko A. Rodriguez, and Herbert Van de Sompel. Journal status. Scientometrics 69(3), 2006 (arxiv.org:cs.DL/0601030)
Mapping science through usage
A principal component analysis of Los Alamos National Laboratory usage reveals clusters of interest which meaningfully differ from those expected from a citation analysis.
Johan Bollen and Herbert Van de Sompel. Mapping the structure of science through usage. Scientometrics, 69(2), 2006.
An architecture for the large-scale aggregation of scholarly usage data
We developed a standard-based architecture for the large-scale aggregation and analysis of usage data.
Johan Bollen and Herbert Van de Sompel. An architecture for the aggregation and analysis of scholarly usage data. In Joint Conference on Digital Libraries (JCDL2006), June 2006.
Work in progress
Usage-based recommender systems
Document clusters extracted from repository usage data are used to generate document and author recommendations.
Johan Bollen, Michael L. Nelson, Gary Geisler, and Raquel Araujo. Usage derived recommendations for a video digital library. Journal of Network and Computer Applications, In Press (doi:10.1016/j.jnca.2005.12.009), 2006.
See also:
Research
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MESUR: usage-based metrics
Enriching the toolkit used for the assessment of the impact of scholarly communication items, and hence of scholars, with metrics that derive from usage data.
Usage-based indicators of scientific activity
Studying science by means of complex networks extracted from large-scale usage data sets.
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
Tracking public sentiment
Analysis of public mood according to established models of human emotion.
Alberto Pepe and Johan Bollen. Between conjecture and memento: shaping a collective emotional perception of the future.. AAAI Spring Symposium on Emotion, Personality, and Social Behavior. 2008. Palo Alto, CA. - Johan Bollen, Alberto Pepe, and Huina Mao. Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena. arXiv:0911.1583 (November 2009)
Meme analysis of online media
Truthy is a system to analyze and visualize the diffusion of information on Twitter. The Truthy system evaluates thousands of tweets an hour to identify new and emerging bursts of activity around memes of various flavors. The data and statistics provided by Truthy are designed to aid in the study of social epidemics: How do memes propagate through the Twittersphere? What causes a burst of popularity?