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基于社会网络挖掘的微博参政群体实证研究 被引量:5

Empirical Research About Micro Blog Political Participating Based on Social Network Mining
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摘要 以社会网络分析方法为基础,应用UCINET软件对微博参政群体进行密度、中心性、凝聚子群以及结构洞的挖掘,实验发现微博参政群体存在参政领袖以及子群现象,参政领袖对群体具有更大的影响,子群现象对微博参政群体成员之间的交流起着积极作用。 Based on the social network analysis methods,the article uses the UCINET software to dig the micro blog political participating group in density,human centrality,condensed subgroups and structural hole.Experiments demonstrate that political leaders which have greater impact and subgroup phenomenon which plays an active role in the blog political participating group members exchange exist in the micro blog politic participating group.
出处 《计算机与现代化》 2012年第5期67-70,共4页 Computer and Modernization
基金 江苏省社会科学基金资助项目(09ZZB003)
关键词 社会网络分析 微博参政 参政领袖 凝聚子群 作用 social network analysis micro blog political participating political leaders condensed subgroup role
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