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The exponential growth of users in Mobile Telecom Network has forced operators to analyze their network more frequently to predict changes in user behavior and offer right incentives to retain them in their network. In this paper, we propose a self-contained approach to the problem of analyzing the community structure to identify bridge members in the community and also to understand their diffusion...
Presently, in the data mining scenario clustering of large dataset is one of the very important techniques widely applied to many applications including social network analysis. Applying more specific pre-processing method to prepare the data for clustering algorithms is considered to be a significant step for generating meaningful segments. In this paper we propose an innovative clustering technique...
Mobile Social Network Analysis is the mapping and measuring of interactions and flows between people, groups, and organizations based on the usage of their mobile communication services. Social Network Analysis and Mining has been highly influenced by the online social web sites, telecom consumer data and instant messaging systems, and has widely analyzed the presence of dense communities using graph...
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