摘要
【目的/意义】为丰富拓展作者网络分析方法,将均衡性分析与社会网络中的节点中心性分析相结合,从不同视角分析作者网络的结构特征。【方法/过程】以"情报学"学科领域下发文量较高的44位作者为研究对象,构建其耦合网络,得到44位作者的点度中心度、中介中心度和接近中心度的排名;然后,利用Gini指数计算作者耦合网络中的中心均衡性,包括点度中心均衡性、中介中心均衡性和接近中心均衡性,以全面分析作者耦合网络的结构特征。【结果/结论】实验表明,"节点中心性"与"中心均衡性"结合对作者网络结构描述结果与事实相符,对作者网络结构的描述更加全面、立体。
【Purpose/significance】In order to enrich and expand the author’s network analysis method, This paper combines equilibrium analysis with node centrality analysis in social network, and analyses the structural characteristics of author’s network from different perspectives.【Method/process】This paper takes 44 authors with high volume of papers published in the field of "information science" as the research object, constructs the authors’ coupling network, and obtain the ranking of degree centrality, betweenness centrality and closeness centrality of 44 Authors. Then, the centrality equilibrium in the authors’ coupling network is calculated by Gini index, including degree centrality equilibrium, betweenness centrality equilibrium and closeness centrality equilibrium. In this way can we analyze the structural characteristics of author coupled network comprehensively.【Result/conclusion】The Experiment found that the results of describing the author’s network structure by combining "node centrality" and "center equilibrium" are consistent with the facts, and the description of the author’s network structure is more comprehensive and stereoscopic.
作者
马蒙
李秀霞
MA Meng;LI Xiu-xia(Department of Media,Qufu Normal University,Rizhao 276800,China)
出处
《情报科学》
CSSCI
北大核心
2020年第3期49-53,共5页
Information Science
基金
国家社会科学基金项目“文献内容分析与引文分析融合的知识挖掘与发现研究”(16BTQ074).
关键词
社会网络分析
Gini指数
中心均衡性
网络特征
social network analysis
Gini index
central equilibrium analysis
network characteristics