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Use of Social Network Analysis in Telecommunication Domain
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Author(s): Sushruta Mishra (KIIT University, India), Brojo Kishore Mishra (C. V. Raman College of Engineering, India), Hrudaya Kumar Tripathy (KIIT University, India), Monalisa Mishra (C. V. Raman College of Engineering, India)and Bijayalaxmi Panda (BPUT Rourkela, India)
Copyright: 2018
Pages: 27
Source title:
Modern Technologies for Big Data Classification and Clustering
Source Author(s)/Editor(s): Hari Seetha (Vellore Institute of Technology-Andhra Pradesh, India), M. Narasimha Murty (Indian Institute of Science, India)and B. K. Tripathy (VIT University, India)
DOI: 10.4018/978-1-5225-2805-0.ch006
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Abstract
Social network analysis (SNA) is the analysis of social communication through network and graph theory. In our chapter the application of SNA has been explored in telecommunication domain. Telecom data consist of Customer data and Call Detail Data (CDR). The proposed work, considers the attributes of call detail data and customer data as different relationship types to model our Multi-relational Telecommunication social network. Typical work on social network analysis includes the discovery of group of customers who shares similar properties. A new challenge is the mining of hidden communities on such heterogeneous social networks, to group the customers as churners and non-churners in Telecommunication social network. After the analysis of the available data we constructed a Weights Multi-relational Social Network, in which each relation carry a different weight, representing how close two customers are with one another. The centrality measures depict the intensity of the customer closeness, hence we can determine the customer who influence the other customer to churn.
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