Journal article

Empirical analysis of web-based user-object bipartite networks

  • Shang, Ming-Sheng Web Sciences Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, PRC - Department of Physics, University of Fribourg, Switzerland
  • Lü, Linyuan Department of Physics, University of Fribourg, Switzerland
  • Zhang, Yi-Cheng Web Sciences Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, PRC - Department of Physics, University of Fribourg, Switzerland
  • Zhou, Tao Web Sciences Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, PRC - Department of Modern Physics, University of Science and Technology of China, Hefei, PRC
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    17.06.2010
Published in:
  • Europhysics Letters. - 2010, vol. 90, no. 4, p. 48006
English Understanding the structure and evolution of web-based user-object networks is a significant task since they play a crucial role in e-commerce nowadays. This letter reports the empirical analysis on two large-scale web sites, audioscrobbler.com (http://audioscrobbler.com/) and del.icio.us (http://del.icio.us/), where users are connected with music groups and bookmarks, respectively. The degree distributions and degree-degree correlations for both users and objects are reported. We propose a new index, named collaborative similarity, to quantify the diversity of tastes based on the collaborative selection. Accordingly, the correlation between degree and selection diversity is investigated. We report some novel phenomena well characterizing the selection mechanism of web users and outline the relevance of these phenomena to the information recommendation problem
Faculty
Faculté des sciences
Department
Physique
Language
  • English
Classification
Physics
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/301601
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