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Folksonomy的网络性质研究与应用 被引量：6

Study and Application of Network Properties of Folksonomy
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摘要 Folksonomy是Web2.0环境下一种有效的网络信息组织方式。分析了Folksonomy的网络性质,基于社会化书签系统delicious数据集分析,发现了标签网络具有的两个基本性质:小世界效应和无标度特性。通过新的聚类算法挖掘了标签网络中的社团结构,这有助于挖掘标签网络中隐含的语义信息,构建平面化Folksonomy的层次体系。 Folksonomy is a new kind of information organization methods emerging in Web2.0 environment.This paper analyzed network properties of folksonomy.Based on the dataset of social bookmarking site delicious,two fundamental characteristics were discovered： the small world effect and scale free property.Community structures of tag network were discovered by a new clustering algorithm,which would help to discover latent semantic information and build hierarchies of flat folksonomy.
作者 李静
机构地区 河南师范大学图书馆
出处 《情报科学》 CSSCI 北大核心 2009年第10期1483-1486,1491,共5页 Information Science
基金 河南省教育厅自然科学基金项目(200610476028)
关键词 FOLKSONOMY 标签 复杂网络 小世界 无标度 社团 folksonomy tag complex network small-world scale-free community
分类号 G255.51 [文化科学—图书馆学]
  • 相关文献

参考文献9

  • 1Adam Mathes. Folksonomies-Cooperative Classitication and Communication throughShared Metadata [EB/OL]. http://www.adammathes.com/academie/computer -mediated -communieation/folksonomies.html, 2008-12-20.
  • 2Gene Smith. Folksonomy :social classification [ EB/OL]. http: //atomiq.org/archives/2004/08/folksonomy_social_classification.html,/2008-12-10.
  • 3Newman M E J. The structure and function of complex networks[J]. SIAM Review,2003,45(2) : 167-256.
  • 4王萍.基于自由分类法的e-Learning共现标签网络分析[J].中国电化教育,2008(11):99-104. 被引量：16
  • 5Watts D J,Strogatz S H. Collective dynamics of "small-world" networks [ J ]. Nature, 1998, (393) : 440-442.
  • 6Barabasi A L,Albert R,Jeong H. Mean-field theory for scale-free random networks [J]. Physica A, 1999, (272): 173-187.
  • 7Java Html Parser [ EB/OL]. http://htmlparser.sourceforge.net/, 2008-09-15.
  • 8Girvan M, Newman M E J. Community structure in social and biological networks [J]. Proc Natl Acad Sci,2001,99 (12) : 7821-7826.
  • 9Karl Aberer,Philippe Cudrr-Mauroux,et al. Emergent semantics principles and issues[C]. In Procceedings of the 9th International Conference on Database Systems for Advanced Applications (DASFAA). Jeju Island, Korea: Springer, 2004.

二级参考文献12

  • 1Adam Mathes.Folksonomies-Cooperative Classification and Commumcation throughShared Metadata[EB/OL]. http://www.adammathes.com/academic/computer-mediated communication/folksonomies .html.
  • 2Gene Smith. Folksonomy: social classification [EB/OL]. http:// atorniq.org/archives/2004/08/folksonomy_social_classification.html.
  • 3Mika, P. Ontologies are us: A unified model of social networks and semantics [J]. Journal of Web Semantics, 2007, 5(1):5-15.
  • 4Newman M E J. The structure and function of complex networks [J]. SIAM Review, 2003, 45(3):167-256.
  • 5Manfred Wettler, Reinhard Rapp. Computation of word associations based on the co-occurrences of words in large corpora [EB/OL]. http://acl.ldc.upenn.edu/W/W93/W93-0310.pdf.
  • 6Kleinberg J M. Navigation in a small world[J]. Nature, 2000, (8): 845-847.
  • 7Watts D J, Strogatz S H. Collective dynamics of ' small-world' networks [J]. Nature ,1998, (6):440-442.
  • 8Barabasi A L, Albert R, Jeong H. Mean-field theory for scale-free random networks [J]. Physica A, 1999, 272: 173-187.
  • 9Goolge Reader API. [EB/OL]. http://code.google.com/p/pyrfeed/ wiki/GoogleReaderAP I.
  • 10Java Html Parser. [EB/OL]. http://hurdparser.sourceforge.net/.

共引文献15

同被引文献76

引证文献6

二级引证文献26

情报科学
2009年 第10期

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