收稿日期: 2016-05-13
修回日期: 2016-07-11
网络出版日期: 2016-08-05
基金资助
本文系教育部人文社会科学项目“基于重叠结构的学科交叉演化研究”（项目编号：13YJC870001）、国家自然科学基金面上项目“科学结构特征及其演化动力学分析方法与应用研究”（项目编号：71173211）和大北农青年学者研究计划（中国农业大学教育基金会“大北农教育基金”资助）“农业学科群中交叉领域探测及分析研究”（项目编号：3801-2413001）研究成果之一。
Interdisciplinary Link Detection and Analysis Based on Overlapping Community Structure
Received date: 2016-05-13
Revised date: 2016-07-11
Online published: 2016-08-05
陈仕吉 , 陈晨 , 韩涛 , 王小梅 . 基于重叠结构的跨学科链接探测与分析[J]. 图书情报工作, 2016 , 60(15) : 94 -100 . DOI: 10.13266/j.issn.0252-3116.2016.15.013
[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.
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