• DocumentCode
    3078947
  • Title

    Egocentric network analysis to score the telecom customers

  • Author

    Pushpa ; Shobha, G.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Adichunchanagiri Inst. of Technol., Chickmagalur, India
  • fYear
    2013
  • fDate
    26-28 Dec. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Social Network Analysis is an important tool to understand and predict the behavioral patterns of the telecom customers. Sciocentric (whole) network analysis processes massive amount of network data, which may include millions of customers and relationships between them. However building the egocentric network for each customer effectively reduces the processing cost and gives the detail visualization of the connection pattern of the telecom customers. This paper addresses the logic behind the egocentric network analysis by taking into account the level of influence of individuals whom they are connected within a network. We also discusses the features of those customers who adapted to certain services within a network and the likelihood of the others adapting to similar services from the same network is predictable. Hence the ROI on marketing towards consumers who belongs to same network increases significantly.
  • Keywords
    consumer behaviour; network theory (graphs); social sciences; telecommunication industry; ROI; connection pattern visualization; egocentric network analysis; marketing; network data processing; processing cost reduction; sciocentric network analysis; social network analysis; telecom customer behavioral patterns; Computational intelligence; Conferences; Correlation; Data visualization; Size measurement; Social network services; Telecommunications; Ego-centric Networks; Homophily; Multi-relational; Socio-centric Networks; Structural-Holes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on
  • Conference_Location
    Enathi
  • Print_ISBN
    978-1-4799-1594-1
  • Type

    conf

  • DOI
    10.1109/ICCIC.2013.6724222
  • Filename
    6724222