文献类型：期刊文献

英文题名：A hypergraph model of social tagging networks

作者：Zhang, Zi-Ke[1];Liu, Chuang[1,2,3]

机构：[1]Univ Fribourg, Dept Phys, CH-1700 Fribourg, Switzerland;[2]E China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[3]E China Univ Sci & Technol, Engn Res Ctr Proc Syst Engn, Minist Educ, Shanghai 200237, Peoples R China

年份：2010

外文期刊名：JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000286466100005)】；

基金：We acknowledge Dong Wei for providing us with the data set, and Jian-Guo Liu, Linyuan Lu and Chi-Ho Yeung for helpful discussions and suggestions. This work was partially supported by the Swiss National Science Foundation (Project 200020121848). ZKZ acknowledges the National Natural Science Foundation of China under the grants nos 60973069 and 90924011. CL and ZKZ acknowledge the Scholarship Program supported by China Scholarship Council (CSC Program).

语种：英文

外文关键词：growth processes; network dynamics; online dynamics

摘要：The past few years have witnessed the great success of a new family of paradigms, so-called folksonomy, which allows users to freely associate tags with resources and efficiently manage them. In order to uncover the underlying structures and user behaviors in folksonomy, in this paper, we propose an evolutionary hypergraph model for explaining the emerging statistical properties. The present model introduces a novel mechanism that can not only assign tags to resources, but also retrieve resources via collaborative tags. We then compare the model with a real-world data set: Del.icio.us. Indeed, the present model shows considerable agreement with the empirical data in the following aspects: power-law hyperdegree distributions, negative correlation between clustering coefficients and hyperdegrees, and small average distances. Furthermore, the model indicates that most tagging behaviors are motivated by labeling tags on resources, and the tag plays a significant role in effectively retrieving interesting resources and making acquaintances with congenial friends. The proposed model may shed some light on the in-depth understanding of the structure and function of folksonomy.