Volume 90, Number 4, May 2010
|Number of page(s)
|Interdisciplinary Physics and Related Areas of Science and Technology
|17 June 2010
Empirical analysis of web-based user-object bipartite networks
Web Sciences Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China - 610054 Chengdu, PRC
2 Department of Physics, University of Fribourg - CH-1700 Fribourg, Switzerland
3 Department of Modern Physics, University of Science and Technology of China - 230026 Hefei, PRC
Corresponding author: firstname.lastname@example.org
Accepted: 18 May 2010
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 and 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.
PACS: 89.75.Hc – Networks and genealogical trees / 89.75.-k – Complex systems / 89.20.Ff – Computer science and technology
© EPLA, 2010
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