2013

paper

english

EN Social network analysis techniques have been often used to derive useful knowledge from email and communication networks. However, most previous works considered an ideal scenario when full raw data were available for analysis. Unfortunately, such data raise privacy issues, and are often considered too valuable to be disclosed. In this paper we present the results of social network analysis of a very large volume of the telecommunication data acquired from a mobile phone operator. The data are highly aggregated, with only limited amount of information about individual connections between users. We show that even with such limited data, social network analysis methods provide valuable insights into the data and can reveal interesting patterns.

195 - 206

10.1007/978-3-642-32741-4_18

https://link.springer.com/chapter/10.1007/978-3-642-32741-4_18

Advances in databases and information systems

16th East-European Conference on Advances in Databases and Information Systems, ADBIS 2012, 17-21.09.2012, Poznan, Poland

WoS (15)