Structure, tie persistence and event detection in large phone and SMS networks

Leman Akoglu, Bhavana Dalvi
2010 Proceedings of the Eighth Workshop on Mining and Learning with Graphs - MLG '10  
The effect of the network structure on the dynamics of social and communication networks has been of interest in recent years. It has been observed that network properties such as neighborhood overlap, clustering coefficient, etc. influence the tie strengths and link persistence between individuals. In this paper we study the communication records (both phonecall and SMS) of 2 million anonymized customers of a large mobile phone company with 50 million interactions over a period of 6 months.
more » ... iod of 6 months. Our major contributions are the following: (a) we analyze several structural properties in these call/SMS networks and the correlations between them; (b) we formulate a learning problem to determine whether existing links between users will persist in the future. Experimental results show that our method performs better than existing rule based methods; and (c) we propose a change-point detection method in user behaviors using eigenvalue analysis of various behavioral features extracted over time. Our analysis shows that change-points detected by our method coincide with the social events and festivals in our data.
doi:10.1145/1830252.1830254 dblp:conf/mlg/AkogluD10 fatcat:ytuthk2p3ze6dk5yikge5xhw4e