Extracting the customers who share similar interests that are connected via set of relationships in Telecom social network is a challenging scenario. This paper addresses an efficient method of building multi-relational and heterogeneous social network for telecom customers and identifying social structures present in the telecommunication network. The telecom social network is constructed by considering multiple attributes and different services provided by the telecom industry. The telecom network is constructed by using adjacency matrix for all the customers. This approach deals with finding the social position of the customer by different measures like centrality, betweenness, density and closeness. The analysis on the centrality measure are made to identify the central and most influential customers in the network, to provide customized services for retention of that customer. This paper also describes the extraction of dynamic patterns, future structures which aids in retention of customer and managing the market requirement more efficiently.
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