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Finding a Maximum Clique using Ant Colony Optimization and Particle Swarm Optimization in Social Networks

Authors
  • Soleimani-Pouri, Mohammad
  • Rezvanian, Alireza
  • Meybodi, Mohammad Reza
Type
Preprint
Publication Date
Nov 28, 2013
Submission Date
Nov 28, 2013
Identifiers
DOI: 10.1109/ASONAM.2012.20
Source
arXiv
License
Yellow
External links

Abstract

Interaction between users in online social networks plays a key role in social network analysis. One on important types of social group is full connected relation between some users, which known as clique structure. Therefore finding a maximum clique is essential for some analysis. In this paper, we proposed a new method using ant colony optimization algorithm and particle swarm optimization algorithm. In the proposed method, in order to attain better results, it is improved process of pheromone update by particle swarm optimization. Simulation results on popular standard social network benchmarks in comparison standard ant colony optimization algorithm are shown a relative enhancement of proposed algorithm.

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