Parallel social behavior-based algorithm for identification of influential users in social network
نویسندگان
چکیده
منابع مشابه
Identifying Influential Users in Social Network with Review Data
Background: Social networks have been widely utilized by a variety of popular review websites, and different users have a different impact on how information propagates through the network. Identifying influential users in such system could be beneficial for advertising purposes. Aim: To estimate the influence propagation probability for social ties in the network using review data which contai...
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Online social networking is deeply interleaved in todays lifestyle. People come together and build communities to share thoughts, offer suggestions, exchange in formation, ideas, and opinions. Moreover, social networks often serve as platforms for information dissemination and product placement or promotion through viral marketing. The success rate in this type of marketing could be increased ...
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In recent years, the social networks analysis gains great deal of attention. Social networks have various applications in different areas namely predicting disease epidemic, search engines and viral advertisements. A key property of social networks is that interpersonal relationships can influence the decisions that they make. Finding the most influential nodes is important in social networks b...
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Understanding and controlling spreading dynamics in networks presupposes the identification of those influential nodes that will trigger an efficient information diffusion. It has been shown that the best spreaders are the ones located in the core of the network – as produced by the k-core decomposition. In this paper we further refine the set of the most influential nodes, showing that the nod...
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ژورنال
عنوان ژورنال: Applied Intelligence
سال: 2021
ISSN: 0924-669X,1573-7497
DOI: 10.1007/s10489-021-02203-x