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صفحه اصلی
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دوازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
A Community-Based Method for Identifying Influential Nodes using Network Embedding
نویسندگان :
Nargess Vafaei
1
Mohammad Reza Keyvanpour
2
1- دانشگاه الزهرا(س)
2- دانشگاه الزهرا(س)
کلمات کلیدی :
Social network mining, Influence analysis, Influence maximization problem, Influential nodes
چکیده :
People's influence on their friends' personal opinions and decisions is an essential feature of social networks, which has led to many businesses using social media to convince a small number of users to increase awareness and ultimately maximize sales to the maximum number of users. This issue is typically expressed as the influence maximization problem. In this paper, we will identify the most influential nodes in the social network during two phases. In the first phase, we offer a community detection approach based on the Node2Vec method to detect the potential communities. In the second phase, by applying the size criterion, candidate communities are selected, and then the heuristic-based measurement approach is utilized to identify influential nodes within candidate communities. Evaluations of the proposed method on two real datasets show the superiority of this method over other compared methods.
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