Article Title

SOCIAL NETWORK ANALYSIS FOR CHURN PREDICTION IN TELECOM DATA

Authors

PUSHPA PUSHPA, Computer Science and Engineering Department, R.V. College of Engineering, Bangalore-560059, IndiaFollow
Dr. Shobha G, Professor, RVCE, Bangalore, IndiaFollow

Abstract

Social Network Analysis (SNA) is a set of research procedures for identifying group of people who share common structures in systems based on the relations among actors. Grounded in graph and system theories, this approach has proven to be powerful measures for studying networks in various industries like Telecommunication, banking, physics and social world, including on the web. Since Telecommunication industries deals with huge amount of data, manual analysis of data is very difficult. In this paper we explore the Social Network Analysis techniques for Churn Prediction in Telecom data. Typical work on social network analysis includes the construction of multi-relational telecom social network and centrality measures for prediction of churners in telecom social network.

Recommended Citation

PUSHPA, PUSHPA and G, Dr. Shobha (2016) "SOCIAL NETWORK ANALYSIS FOR CHURN PREDICTION IN TELECOM DATA," International Journal of Computer and Communication Technology: Vol. 7: Iss. 4, Article 17.
DOI: 10.47893/IJCCT.2016.1389
Available at: https://www.interscience.in/ijcct/vol7/iss4/17

DOI

10.47893/IJCCT.2016.1389