Community detection in social network using shuffled frog-leaping optimisation. (2015) - Wang, Tong
In recent years, the complex division of the online community has become a hot topic. The existing community method aims to divide nodes into a community mechanically. In a real network, it will reduce the classification accuracy greatly for the low active users, while increasing the time complexity. It has small significance. Therefore, this paper will combine shuffled leap-frog algorithm with community detection method. It will extract active users by sorting on properties of frog, so as to improve the efficiency of division. Experimental results show that the method has good performance.