2 Analysis and Contrast the Statistic Characteristics of Real Data on Facebook
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Recently, social networks have been developed rapidly, especially for Facebook which is very popular with 10 billion users. In this paper, we analyze the relationships in social network from the perspective of complex networks characteristics, comparing with BA scale-free network model, WS small world network model and ER random network model. It is indicated in the experiment that Facebook social networks don’t completely satisfya certain existing complex networks model, butit is similar tosome kind of network model in different complex networks properties. The results reflect the existence of the community structure in the social network, so the node degree is not a simple inverse relationship with average path length like the normal three network models, but varies with the location distribution of the node in the community.