The Study on the Impact of Weighted Factors on Co-Authorship Network

Abstract

Abstract:

The study on co-authorship network has always been an important research direction in the field of information science. Adopting the social network analysis (SNA) research methods, the authors build three computing models of co-authorship network respectively according to three weighted elements
such as networking intensity, individual author’s contribution, and co-authorship influence. They then compare and analyze the network graph, centrality analysis, subgroup analysis and core-periphery analysis through an empirical research. The study finds out that the weighted factors have an impact on the point centrality, core-periphery structure, and the connection strength of network graph, but do not affect the betweenness centrality, the closeness centrality, the cohesive subgroups, or the structure of network graph.

Key words: Co-authorship network, Weighted factors, Social network analysis, Scientific research team

Ren Ni, Zhou Jiannong. The Study on the Impact of Weighted Factors on Co-Authorship Network[J]. LIBRARY JOURNAL.

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