Professor in Political Science and Computer and Information Science

David Lazer

Detecting Anomalous Behaviors Using Structural Properties of Social Networks

Peer Reviewed Computer Science Conference
Publication date: 
09/2013
Authors: 
Yaniv Altshuler
Michael Fire
Erez Shmueli
Yuval Elovici
Alfred Bruckstein
Alex `Sandy' Pentland
David Lazer
Detecting Anomalous Behaviors Using Structural Properties of Social Networks

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.

Research Areas TOC

Computational Social Science, 21st Century Democracy, Political Networks

Computational Social Science, Collective Cognition

DNA and the Criminal Justice System

21st Century Democracy, Political Networks