Network-aware customer value in telecommunication social networks
Authors: Ruta, D., Kazienko, P. and Bródka, P.
Journal: Proceedings of the 2009 International Conference on Artificial Intelligence, ICAI 2009
Volume: 1
Pages: 261-267
ISBN: 9781601321091
Abstract:The exponential growth of interactions in the networked society becomes gradually a reality. Social networks thrive and expand rapidly across many different interaction platforms delivered by modern telecommunication and internet services. The role and the impact of individuals on network interactions is increasingly important although rather complex and difficult to analyse in the realistic dynamic network environment. The goal of this paper is to look into the key structural changes in social networks: addition and removal of nodes and propose a methodology for temporal modelling of network response to these changes in order to assess the true network impact of the added or removed node. We propose to use the time series of the first order neighbourhood interaction as the key dynamic measure of the impact of individual node on its local network's interaction. The proposed methodology is supported with some preliminary experimental results carried out on real voice telecommunication network over customer acquisition and churn events and it lays ground for the new network-aware estimation of customer value.
Source: Scopus
Network-Aware Customer Value in Telecommunication Social Networks.
Authors: Ruta, D., Kazienko, P. and Bródka, P.
Editors: Arabnia, H.R., Fuente, D.D.L. and Olivas, J.A.
Journal: IC-AI
Pages: 261-267
Publisher: CSREA Press
http://www.informatik.uni-trier.de/~ley/db/conf/icai/icai2009.html
Source: DBLP
Preferred by: Dymitr Ruta