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Empirical Research on Similarity of Research Interests in Co-authorship Network
Received date: 2014-07-16
Revised date: 2015-01-02
Online published: 2015-01-20
[Purpose/significance] Aiming at quantitatively verifying the assumption that the similarity of research interests is a motivation of the co-authoring, this paper uses the keyword set of those authors of the co-authorship network from the micro perspective of individual.[Method/process] The research collects bibliographic record of document about information retrieval, constructs co-authorship network, divides the communities with Louvain algorithm, implements Jaccard coefficient and Cosine coefficient computation indicators, and carries out a statistical analysis and comparison on the similarity of research interests of authors in the overall network and within the community.[Result/conclusion] From the perspective of overall network, the similarity of research interest is higher in co-authorship network, but there is a rate of complementarity. Both the average similarity and complementarity of co-author within community are higher than overall network, and the formation of scientific community may be influenced by the research interest of author. That the similarity of research interest is an important motivation of the co-authoring can be reflected by the similarity of researcher's interest in these two levels of network.
Li Gang , Li Lanfeng , Mao Jin , Ye Guanghui . Empirical Research on Similarity of Research Interests in Co-authorship Network[J]. Library and Information Service, 2015 , 59(2) : 75 -81 . DOI: 10.13266/j.issn.0252-3116.2015.02.012
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