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An Evolutionary Approach for Detecting Communities in Social Networks

  • Koray OzturkEmail author
  • Faruk Polat
  • Tansel Özyer
Chapter
Part of the Lecture Notes in Social Networks book series (LNSN)

Abstract

Recent advancements and increasing use of social networking applications have made extensive amounts of data available. Because of this, exploring new and effective methods for mining and analyzing social network data is needed. In our work, a method inspired by evolutionary approach is proposed to find communities in social networks. A genetic algorithm, which is able to detect communities without needing the number of communities at the beginning of the algorithm, has been formulated and compared with other community detection methods to prove its accuracy, efficiency, and effectiveness. In addition, experiments using Newman’s spectral clustering method as a preprocessing step to our modified genetic algorithm have been done and seen producing better results for large datasets.

Keywords

Social networks Community detection Genetic algorithms 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Middle East Technical UniversityAnkaraTurkey
  2. 2.Department of Computer EngineeringTOBB University of Economics and TechnologyAnkaraTurkey

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