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开放百科隐性协作社群研究 被引量:1

Study of communities of implicit collaboration in open encyclopedia
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摘要 通过开放百科协作编辑成员的聚类分析和社群网络分析,能够揭示社区中具有共同兴趣爱好和相似编辑倾向的隐性协作社群及其成员结构。本文首先基于间接交流和编辑共现网络的分析,提出了隐性协作社群的概念和编辑共现系数的计算方法,然后以维基百科协作编辑数据源为基础,对社群网络进行了实证分析。主要结论如下:编辑共现系数可以作为开放百科贡献者聚类分析和加权网络分析的基础;基于编辑共现网络而形成的隐性协作社群可以佐证贡献者内部存在明显的聚类现象。 Cluster and network analysis of authors enable discovering communities of implicit collaboration and theirstructure who have common interests and similar editing behaviors in open encyclopedia. In this paper we conductboth theoretical and empirical study of communities of implicit collaboration based on data source of Wikipedia. Primary conclusions include that co-edit coefficient can be the fundamental of cluster and weighted network analysis ofencyclopedia contributorsm, Empirical study of communities of implicit collaboration created on the base of co-editnetwork may imply obvious cluster inside the contributors.
作者 张薇薇 杨雨润 ZHANG Wei-wei;YANG Yu-run(School of Management Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China)
出处 《科技与管理》 2018年第5期103-110,共8页 Science-Technology and Management
基金 国家自然科学基金青年项目(71804072) 江苏高校品牌专业建设工程资助项目(PPZY2015A072)
关键词 开放百科 隐性协作社群 聚类分析 网络分析 编辑共现网络 open encyclopedia communities of implicit collaboration cluster analysis network analysis co-editnetwork
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