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Analyse about Modularity of Networks and Top Ological Characteristics of BBS Networks

Author: LiuYuanGang
Tutor: WangLin
School: Xi'an University of Technology
Course: Communication and Information System
Keywords: Complex networks Community split Modularity BBS network Great community
CLC: TP393.094
Type: Master's thesis
Year: 2009
Downloads: 91
Quote: 1
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Abstract


Community segmentation is a hot topic of the study of complex networks in recent years, reasonable split the community to help us understand and better design of the network on the network. Many communities segmentation algorithm is proposed and proved to be effective. However, the community-split is good or bad is how to measure the difficulty of a recent study. Newman and Grivan \Coefficient and network density of poly within the concept, and argues Community structural differences can be more reasonable than the modularity divided. The study showed that the social network community size distribution with a power-law distribution to portray that there are a handful of large number of nodes in the Community we call great community. The paper analyzes the the PRC power forum 2003 data, based on the the user interest BBS interest network. Community size distribution of the network to meet the power-law distribution, the second decomposition great community, but also found the same phenomenon, with the gradual decomposition, the exponent of the probability distribution of the value is increasing; This article on typical theme posts proportion of total posts great community statistics found little change in the proportion of total posts only a small part of great community posts, so simply great community Posts poly hot topics of the Forum of the class can be found, this finding will help us to improve the efficiency of text clustering; study also found great community is not only the number of nodes in a great community, and have full representation in the reaction Forum mainstream public opinion and topological features of similarity with the original network. In addition, the article also analyzed Forum on the dynamics of human behavior, found popularity root posts and user activity in a certain magnitude range to meet the power-law distribution and the presence of \characteristics important discovery in the social network; typical user posting interval distribution has a significant peak, with the reduction of user activity, more and more obvious \the community segmentation results of the network topology, and a great community features.

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