Structural Analysis of Paper Citation and Co-Authorship Networks

نویسندگان

  • Kouhei SUGIYAMA
  • Hiroyuki OHSAKI
  • Makoto IMASE
چکیده

In recent years, attention to the structure of existing several complex networks has been increasing. The characteristic of such structure of complex networks is applicable in several forms to, for instance, information retrieval and data mining applications. However, in the literature, it has not been sufficiently investigated what the structure of complex networks tells and how the structure of complex networks is applicable. In this paper, we therefore build a paper citation network and a paper co-authorship network from information on authors and references of a large number of research papers. We then investigate structures of paper citation/co-authorship networks by applying several network analysis techniques, which have been widely used in social network analysis. Our findings include that the paper citation network has less grouped structure, and that the tail of the in-degree distribution function follows a power law with γ = 2.7. We also found that that the paper co-authorship network has grouped structure, and that it has a scale-free property.

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تاریخ انتشار 2007