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| Complex network analysis of tag as a social network |
| WU Chao, ZHOU Bo |
| Department of Computer Science, Zhejiang University, Hangzhou 310027, China |
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Abstract Tag and tag system are widely used in online social networks. To solve the problem of being hard to manage and describe for tag space, we proposed an analysis method towards tag, based on complex network method: We treated the tag spaces as a social network itself, and investigated its semantic relatedness. When two tags were used together frequently towards certain Web resources, we connected them, and thus formed a tag social network. Then we used the complex network analysis method to study the characteristics of tag networks, including average path length, clustering coefficient, and degree distribution, etc. The result shows that the tag network is small world network and scalefree network, and there is semantic relatedness between tag words. The findings of this paper could provide inspiration for designing future tag system.
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Published: 23 December 2010
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基于复杂网络的社会化标签分析
标签和标签系统在社会化网络中应用广泛,针对标签空间缺乏组织和难以描述的问题,提出基于复杂网络的标签分析方法：将标签空间本身作为一个社会网,研究其中的语义联系.当2个标签被频繁共同使用,用以描述某类Web资源时,将两者联系到一起,由此建立起一个标签社会网图.再利用复杂网络的分析方法来考察标签网络的结构特征,包括网络的平均路径长度、聚集系数和节点度数分布等.结果表明,此标签网络符合小世界模型和无尺度网络模型,且标签词汇间存在语义联系.该结论能为未来的标签系统设计带来启发.
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