Abstract
By studying the behavior characteristics visiting world wide web of the specifically campus group, this paper constructed dynamic group interest network, which was a para-bipartite graph. The time features that the group user visited world-wide-web had been observed, the topological structure had been discussed. The degree exponents had been drafted for the one week data. Although the users’ visiting time is random and their surfing pages were different but the interests of a majority of the campus group were accordant. The results indicate that the incoming degree distribution of the group interest network follows power law. And the group interest spectrum was basically steady. The visiting behavior of the campus group had their special disciplinarian.
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Zhang, N. (2009). Characteristics of the Group Interest Network. In: Margenov, S., Vulkov, L.G., Waśniewski, J. (eds) Numerical Analysis and Its Applications. NAA 2008. Lecture Notes in Computer Science, vol 5434. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00464-3_73
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DOI: https://doi.org/10.1007/978-3-642-00464-3_73
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