A new community detection algorithm based on makov-chains and a team formation model

Patrick J. McSweeney, Kishan Mehrotra, Jae C Oh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Detecting community structure in complex networks is an active area of research that locates dense regions of connections in networks. We suggest a novel algorithm for community detection using a new node-node association metric (based on Markov-Chains) and a team formation model.

Original languageEnglish (US)
Title of host publicationProceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009
Pages371-372
Number of pages2
DOIs
StatePublished - 2009
Event2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009 - Athens, Greece
Duration: Jul 20 2009Jul 22 2009

Other

Other2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009
CountryGreece
CityAthens
Period7/20/097/22/09

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Software
  • Social Sciences(all)

Cite this

McSweeney, P. J., Mehrotra, K., & Oh, J. C. (2009). A new community detection algorithm based on makov-chains and a team formation model. In Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009 (pp. 371-372) https://doi.org/10.1109/ASONAM.2009.57