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复杂系统与复杂性科学  2014, Vol. 11 Issue (2): 5-16    DOI: 10.13306/j.1672-3813.2014.02.002
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社会标注系统幂律特性分析
吴振宇, 胡军, 李德毅
北京航空航天大学软件开发环境国家重点实验室,北京 100191
Analysis of the Power Law Characteristics in Social Tagging Systems
WU Zhen-yu, HU Jun, LI De-yi
State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China
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摘要 为全面了解社会标注行为,帮助用户多样化、个性化地使用资源,首先归纳总结标签增长、标签使用与重用以及标签网络等方面的幂律特性。然后,分析幂律特性的形成原因,并使用拓扑势方法进行描述。最后,讨论幂律特性在标签可视化、自动标注、推荐系统和兴趣挖掘等方面的应用,并提出个性化推荐模型。幂律特性分析可以提高信息的个性化、完善社会标注系统的设计。
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吴振宇
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关键词 社会标注系统幂律分布拓扑势    
Abstract:Summarizing and analyzing the power law characteristics existed in social tagging systems can help understand the social tagging activities in every aspect and thus help users obtain resources with diversity and personality. In this paper, the power law characteristics of tag increasing, tag usage and tag network in social tagging systems are summarized firstly. Then the forming reasons of the power law are analyzed and the topological potential method is used to describe the social tagging process. Finally, the applications of the power law in tag visualization, automatic tagging, recommendation system and interests mining are discussed, and a personalized recommendation model was proposed. We conclude that analyzing power law characteristics can help provide users personalized information and improve the designs of social tagging systems.
Key wordssocial tagging systems    power law    topological potential
收稿日期: 2013-05-22      出版日期: 2026-06-22
基金资助:国家“973”基金项目(2007CB310800);国家自然科学基金重点项目(61035004)
作者简介: 吴振宇(1980-),男,山东临沂人,博士研究生,主要研究方向为复杂网络和数据挖掘。
引用本文:   
吴振宇, 胡军, 李德毅. 社会标注系统幂律特性分析[J]. 复杂系统与复杂性科学, 2014, 11(2): 5-16.
WU Zhen-yu, HU Jun, LI De-yi. Analysis of the Power Law Characteristics in Social Tagging Systems[J]. Complex Systems and Complexity Science, 2014, 11(2): 5-16.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2014.02.002      或      https://fzkx.qdu.edu.cn/CN/Y2014/V11/I2/5
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