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Interaction between users in online social networks plays a key role insocial network analysis. One on important types of social group is fullconnected relation between some users, which known as clique structure.Therefore finding a maximum clique is essential for some analysis. In thispaper, we proposed a new method using ant colony optimization algorithm andparticle swarm optimization algorithm. In the proposed method, in order toattain better results, it is improved process of pheromone update by particleswarm optimization. Simulation results on popular standard social networkbenchmarks in comparison standard ant colony optimization algorithm are shown arelative enhancement of proposed algorithm.

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