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.
Research
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