| 个人微博用户网络的节点中心性研究 |
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| 引用本文： | 杨凯,张宁,苏树清. 个人微博用户网络的节点中心性研究[J]. 上海理工大学学报, 2015, 37(1): 43-48 |
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| 作者姓名： | 杨凯 张宁 苏树清 |
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| 作者单位： | 上海理工大学 管理学院, 上海 200093;上海理工大学 管理学院, 上海 200093;上海理工大学 管理学院, 上海 200093 |
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| 基金项目： | 国家自然科学基金资助项目(70971089);上海市一流学科建设资助项目(XTKX2012);上海市研究生创新基金资助项目(JWCXSL1202) |
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| 摘 要： | 以新浪个人微博用户为研究对象,建立了一个"关注"与"被关注"的有向网络.将节点度、紧密度、介数和K-壳4个社会网络指标应用到微博有向网络,研究了个人微博用户网络中节点的中心性,得到网络中重要性用户,分析了他们在信息传播中的作用和在网络中所表现出来的特性,体现出该用户的兴趣爱好.研究了社会网络指标与度之间的相关性,体现出网络各指标之间的关系.研究结果有助于识别个人微博用户网络的关键节点,进而分析信息在个人微博用户网络中的传播.
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| 关 键 词： | 微博用户网络 节点中心性 度中心性 介数中心性 紧密度中心性 K-壳 |
| 收稿时间： | 2013-10-28 |
Node Centrality on Individual Microblog User Network |
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| YANG Kai,ZHANG Ning and SU Shuqing. Node Centrality on Individual Microblog User Network[J]. Journal of University of Shanghai For Science and Technology, 2015, 37(1): 43-48 |
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| Authors: | YANG Kai ZHANG Ning SU Shuqing |
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| Affiliation: | Business School, University of Shanghai for Science and Technology, Shanghai 200093, China;Business School, University of Shanghai for Science and Technology, Shanghai 200093, China;Business School, University of Shanghai for Science and Technology, Shanghai 200093, China |
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| Abstract: | A following and followed directed network was established based on Sina individual microblog.By analyzing social network centrality indicators applied to the microblog directed network, such as the node degree, closeness, betweenness and K-shell, the node centrality of the network was found.The results point out the important users and their roles in dissemination of information.Besides, the characteristics of the users on the microblog network were analyzed in order to reflect the personal interests and hobbies.The correlation between the social networks index and the degree of network was studied to reflect the relationship among the indicators.The results will help us to identify individual key nodes, and then analyze the information dissemination on individual microblog user network. |
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| Keywords: | microblog user network node centrality degree centrality betweenness centrality closeness centrality K-shell |
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