Opinion Leader’s Selection with Grey Wolf Optimizer Algorithm on Social Networks

Opinion leaders in social networks are beneficial and we will be able to use their empowerment and influence by identifying them. In this paper, we have chosen the opinion leaders with Grey Wolf Optimizer (GWO) algorithm. The results show, the number of actual opinion leaders identified by this algorithm is significant and the advantage of the proposed method is compatibility with different criteria and providing sustainability results in different ways.

Keywords:

Opinion Leader , leadership , Grey Wolf Optimizer Algorithm , Virtual Communities , Social Networks