چکیده مقاله
The appearance of social networks has been one of the most important events in the last decade A social network is a network of interaction and communication whose nodes are its members and its edges are the relation between them An outstanding concept in social networks is the concept of social influence which is of great significance Social influence is the behavioral transformation in a person, caused by his/her relationship with other people, organizations and the network Today, the concept of social influence is used in viral marketing The aim of viral marketing is to find a small subset of influential users in the social networks for marketing a product The aim of this paper is to offer an algorithm in order to choose expert and influential users in social networks This algorithm uses leader discovery method in social networks for choosing expert and influential users This method chooses those users as the expert and influential leaders of the social networks, who are influential among the other members and also those users that have enough specialty and knowledge about the marketing product Consequently, the process of selecting expert and influential users for the algorithm would be quick and also the selected leaders are influential and expert enough to do marketing and advertising in the social network
کلیدواژهها
نویسندگان
Neda Salehi Najaf Abadi
Department of Computer, Faculty of Engineering, University of Isfahan, Isfahan, Iran
Mohammad Reza Khayyambashi
Department of Computer, Faculty of Engineering, University of Isfahan, Isfahan, Iran
شیوه ارجاع
Salehi Najaf Abadi, Neda and Khayyambashi, Mohammad Reza,1393,Influence Maximization in Viral Marketing with Expert and InfluentialLeader Discovery Approach,8th International Conference on e-Commerce with focus on E-Trust,Mashhad
ارائهشده در
مجموعه مقالات هشتمین کنفرانس بین المللی تجارت الکترونیک با رویکرد بر اعتماد الکترونیکی4 اردیبهشت 1393 · مشهد