Yuval Elovici

Senior Academic

Detecting anomalous behaviors using structural properties of social networks

Yaniv Altshuler, Michael Fire, Erez Shmueli, Yuval Elovici, Alfred Bruckstein, Alex Pentland, David Lazer

In this paper we discuss the analysis of mobile networks communication patterns in the presence of some anomalous "real world event". We argue that given limited analysis resources (namely, limited number of network edges we can analyze), it is best to select edges that are located around 'hubs' in the network, resulting in an improved ability to detect such events. We demonstrate this method using a dataset containing the call log data of 3 years from a major mobile carrier in a developed European nation.

Publication language English
Pages 433-440
Publication status Published - 14.03.2013

Keywords

Anomalies Detection
Behavior Modeling
Emergencies
Mobile Networks

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science