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Information Diffusion in Computer Science Citation Networks

2009/05/15 by Xiaolin Shi, Belle Tseng, Shi, Xiaolin +4 · 1 citation
Computer Science · Decision Sciences · Mathematics · Physics and Astronomy · #Artificial intelligence #Citation #Citation analysis #Citation impact #Complex Network Analysis Techniques #Complex network #Computer science #Computers and Society (cs.CY) #Data science #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Field (mathematics) #H.2.8 #H.3.4 #Information flow #Information retrieval #Information science #Knowledge flow #Knowledge management #Library science #Mathematics #Network science #Peer-to-Peer Network Technologies #Perspective (graphical) #World Wide Web #cs.CY #cs.DL #scientometrics and bibliometrics research

paper · pdf · doi:10.48550/arxiv.0905.2636

long version of poster published at ICWSM 2009

arxiv created 2009/05/15 · openalex publication_date 2009/05/15 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

The paper citation network is a traditional social medium for the exchange of ideas and knowledge. In this paper we view citation networks from the perspective of information diffusion. We study the structural features of the information paths through the citation networks of publications in computer science, and analyze the impact of various citation choices on the subsequent impact of the article. We find that citing recent papers and papers within the same scholarly community garners a slightly larger number of citations on average. However, this correlation is weaker among well-cited papers implying that for high impact work citing within one's field is of lesser importance. We also study differences in information flow for specific subsets of citation networks: books versus conference and journal articles, different areas of computer science, and different time periods.

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