Toward identification of key breakers in social cyber-physical networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Social networks can provide useful information to enhance mobile cyber-physical applications. With advanced sensor and powerful mobile Internet device technologies, future social networking is likely to be cyber-physical, combining social behaviors and human interactions with computational and physical processes. This paper addresses the problem of analyzing and extracting useful properties from a social cyber-physical network. In particular, we present a graph-based approach to automatically identifying essential nodes that hold the network together called key breakers. Knowing key breakers can help us contain spread of diseases, computer viruses, and undesirable communication or security breaches in the network. The paper describes the approach and provides illustrations, empirical evaluation and a comparative study with existing techniques.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Conference Digest
Pages2731-2736
Number of pages6
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Anchorage, AK, United States
Duration: Oct 9 2011Oct 12 2011

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Conference

Conference2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011
CountryUnited States
CityAnchorage, AK
Period10/9/1110/12/11

Keywords

  • centrality
  • cohesion
  • social network analysis

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