Sociocentric and egocentric measures for identifying the key players in telecom social network

Abstract

Telecom Social Network Analysis (TSNA) is an upcoming and interesting area of concern in telecom industries since it not only helps in exploring the information regarding the social network of subscribers but also helps the operators' to focus on their business analytics. TSNA is being used to give a solution to some of the telecom problems such as to improve churn prediction, overall customer satisfaction and retention. Since the structure of social networks provides the natural way to understand customers' relationships and the behavior of groups of highly connected customers. The typical work on social network analysis includes the construction of both multirelational telecom social networks and ego-networks of telecom customers for discovery of group of customers who share similar properties and classify the customers as churners and non-churners. This paper explores both sociocentric and egocentric methods for identifying key players who plays important roles in decision making in finding the churn rate of telecom social networks.