Community detection in social networks by cultural algorithm

In recent years, researchers have employed various approaches and techniques to identify community structures in social networks. In this paper, we propose a cultural algorithm to cope with this problem by optimizing the search space. The core of this approach is belief space which is a knowledge repository. We introduce two different scenarios to shape this space and compare our approach with 4 well-known algorithms in this field. The result shows that, our method can dramatically reduce the time of reaching to the final answer and find the correct communities in fewer generations.