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International Journal of Information and Communication Technology Research (IJICT، جلد ۱۴، شماره ۱، صفحات ۳۸-۴۷
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عنوان انگلیسی A Community-Based Method for Identifying Influential Nodes Using Network Embedding
چکیده انگلیسی مقاله  People's influence on their friends' personal opinions and decisions is an essential feature of social networks. Due to this, many businesses use social media to convince a small number of users in order to increase awareness and ultimately maximize sales to the maximum number of users. This issue is typically expressed as the influence maximization problem. This paper 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, larger communities are chosen as candidate communities, and then the heuristicbased measurement approach is utilized to identify influential nodes within candidate communities. Evaluations of the proposed method on three real datasets demonstrate the superiority of this method over other compared methods.
کلیدواژه‌های انگلیسی مقاله social network mining, influence analysis, influence maximization problem, influential nodes
نویسندگان مقاله | Narges Vafaei
Department of Computer Engineering Faculty of Engineering Alzahra University Tehran, Iran


| Mohammad Reza Keyvanpour
Department of Computer Engineering Faculty of Engineering Alzahra University Tehran, Iran
نشانی اینترنتی http://ijict.itrc.ac.ir/browse.php?a_code=A-10-391-5&slc_lang=other&sid=1
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