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Detecting Anomalous Behaviors Using Structural Properties of Social Networks

  • Yaniv Altshuler
  • Michael Fire
  • Erez Shmueli
  • Yuval Elovici
  • Alfred Bruckstein
  • Alex (Sandy) Pentland
  • David Lazer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7812)

Abstract

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.

Keywords

Mobile Networks Anomalies Detection Emergencies Behavior Modeling 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yaniv Altshuler
    • 1
  • Michael Fire
    • 2
  • Erez Shmueli
    • 1
  • Yuval Elovici
    • 2
  • Alfred Bruckstein
    • 3
  • Alex (Sandy) Pentland
    • 1
  • David Lazer
    • 4
  1. 1.MIT Media LabUSA
  2. 2.Deutsche Telekom Lab, Department of Information Systems EngineeringBen-Gurion UniversityIsrael
  3. 3.Computer Science DepartmentTechnion – Israeli Institute of TechnologyIsrael
  4. 4.College of Computer and Information Science & Department of Political ScienceNortheastern UniversityUSA

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