2005/03/03 by Johan Bollen, Herbert Van de Sompel, Bollen, Johan +6
Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #Digital Libraries (cs.DL) #FOS: Computer and information sciences #H.3.7 #Peer-to-Peer Network Technologies #Web visibility and informetrics #cs.DL
paper · pdf · doi:10.48550/arxiv.cs/0503007
34 pages, submitted to Information Processing and Management, special issue on Informetrics
arxiv created 2005/03/03 · openalex publication_date 2005/03/03 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We generated networks of journal relationships from citation and download data, and determined journal impact rankings from these networks using a set of social network centrality metrics. The resulting journal impact rankings were compared to the ISI IF. Results indicate that, although social network metrics and ISI IF rankings deviate moderately for citation-based journal networks, they differ considerably for journal networks derived from download data. We believe the results represent a unique aspect of general journal impact that is not captured by the ISI IF. These results furthermore raise questions regarding the validity of the ISI IF as the sole assessment of journal impact, and suggest the possibility of devising impact metrics based on usage information in general.