2006/07/15 by Feng Fu, Fu, Feng, Lianghuan Liu +5
Mathematics · Physics and Astronomy · #91C20 #91D30 #Data Analysis #Dynamical Systems (math.DS) #FOS: Mathematics #FOS: Physical sciences #Statistics Theory (math.ST) #Statistics and Probability (physics.data-an) #math.DS #math.ST #msc:91C20 #msc:91D30 #physics.data-an #stat.TH
paper · pdf · doi:10.48550/arxiv.math/0607361
5 pages, 4 figures. Submitted to Physica A. The blogging network data is available at http://www.mech.pku.edu.cn/robot/student/fufeng/blog.htm
arxiv created 2006/09/28 · arxiv updated 2009/12/01
In this paper, a statistical analysis of the structure of one blog community, a kind of social networks, is presented. The quantities such as degree distribution, clustering coefficient, average shortest path length are calculated to capture the features of the blogging network. We demonstrate that the blogging network has small-world property and the in and out degree distributions have power-law forms. The analysis also confirms that blogging networks show in general disassortative mixing pattern. Furthermore, the popularity of the blogs is investigated to have a Zipf's law, namely, the fraction of the number of page views of blogs follows a power law.