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The distribution of Web citations
Authors:Siluo Yang  Ruizhen Han  Jingda Ding  Yanfei Song
Institution:1. Public Management School, Xiangtan University, Xiangtan, China;2. Research Center for Chinese Science Evaluation, Wuhan University, Wuhan, China
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).
Keywords:Web citation  Citation distribution  Power law  Web academic resource
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