Interdisciplinary Link Detection and Analysis Based on Overlapping Community Structure

  • Chen Shiji ,
  • Chen Chen ,
  • Han Tao ,
  • Wang Xiaomei
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  • 1. China Agricultural University Library, Beijing 100193;
    2. National Science Library, Chinese Academy of Sciences, Beijing 100190

Received date: 2016-05-13

  Revised date: 2016-07-11

  Online published: 2016-08-05

Abstract

[Purpose/significance] The overlapping community structure in the science network represents knowledge penetration between subjects or fields. Therefore, it is interesting to explore knowledge penetration between subjects and fields from the perspective of overlapping community structure.[Method/process] Based on the construction of the ESI highly cited papers co-citation network, the paper utilizes improved BGLL algorithm to achieve the overlapping community structure and takes hub node indicator defined by Guimera and Amaral to explore important interdisciplinary overlapping links.[Result/conclusion] The result shows that overlapping community structure can disclose the interdisciplinary theme between subjects directly and can also be used to detect future interdisciplinary fields.

Cite this article

Chen Shiji , Chen Chen , Han Tao , Wang Xiaomei . Interdisciplinary Link Detection and Analysis Based on Overlapping Community Structure[J]. Library and Information Service, 2016 , 60(15) : 94 -100 . DOI: 10.13266/j.issn.0252-3116.2016.15.013

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