The distribution of Web citations

Authors:
Siluo Yang;Ruizhen Han;Jingda Ding;Yanfei Song
Affiliations:
Public Management School, Xiangtan University, Xiangtan, China;Public Management School, Xiangtan University, Xiangtan, China;Research Center for Chinese Science Evaluation, Wuhan University, Wuhan, China;Research Center for Chinese Science Evaluation, Wuhan University, Wuhan, China
Venue:
Information Processing and Management: an International Journal
Year:
2012

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Abstract

A substantial amount of research has focused on the persistence or availability of Web citations. The present study analyzes Web citation distributions. Web citations are defined as the mentions of the URLs of Web pages (Web resources) as references in academic papers. The present paper primarily focuses on the analysis of the URLs of Web citations and uses three sets of data, namely, Set 1 from the Humanities and Social Science Index in China (CSSCI, 1998-2009), Set 2 from the publications of two international computer science societies, Communications of the ACM and IEEE Computer (1995-1999), and Set 3 from the medical science database, MEDLINE, of the National Library of Medicine (1994-2006). Web citation distributions are investigated based on Web site types, Web page types, URL frequencies, URL depths, URL lengths, and year of article publication. Results show significant differences in the Web citation distributions among the three data sets. However, when the URLs of Web citations with the same hostnames are aggregated, the distributions in the three data sets are consistent with the power law (the Lotka function).