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

Subject Areas : International Journal of Industrial Mathematics

صمد محمد اقدم ¹ ( Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran. )
فرهاد سلیمانیان قره چپق ² ( Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran. )
محمد مصدری ³ ( Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran. )

Received: 2020-01-06 Accepted : 2020-10-05 Published : 2021-04-01

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

Abstract :

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.

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