Abstract
Recently, spatial interaction analysis of online social networks has become a big concern. Early studies of geographical characteristics analysis and community detection in online social networks have shown that nodes within the same community might gather together geographically. However, the method of community detection is based on the idea that there are more links within the community than that connect nodes in different communities, and there is no analysis to explain the phenomenon. The statistical models for network analysis usually investigate the characteristics of a network based on the probability theory. This paper analyzes a series of statistical models and selects the MDND model to classify links and nodes in social networks. The model can achieve the same performance as the community detection algorithm when analyzing the structure in the online social network. The construction assumption of the model explains the reasons for the geographically aggregating of nodes in the same community to a degree. The research provides new ideas and methods for nodes classification and geographic characteristics analysis of online social networks and mobile communication networks and makes up for the shortcomings of community detection methods that do not explain the principle of network generation. A natural progression of this work is to geographically analyze the characteristics of social networks and provide assistance for advertising delivery and Internet management.
Highlights
The Internet has produced many types of information dissemination methods, including Web, FTP, E-mail, and Telnet
The most typical result is that the nodes in a community are often geographically aggregated, which is generally similar to administrative divisions
The results show that the network statistical model Mixture of Dirichlet Network Distribution (MDND) can find the geographical aggregation phenomenon of nodes in the same class
Summary
The Internet has produced many types of information dissemination methods, including Web, FTP, E-mail, and Telnet Based on these methods, there are many online social media applications including Facebook, Twitter, and so on, which attract many users. Some studies have found that the detected communities match the administrative divisions very well [5,6,7]. These studies followed the tradition that spatial interactions can represent the theory of geographic features, which was established by Ullman [8,9] and persisted and developed by Noronha and Goodchild [10], Castells [11], among others
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