Ranking Influential Nodes of Fake News Spreading on Mobile Social Networks
نویسندگان
چکیده
Online fake news can generate a negative impact on both users and society. Due to the concerns with spread of misinformation, assessing network influence online has become an important issue. This study quantifies nodes by proposing algorithm based information entropy theory. Dynamic process is characterized mobile social networks (MSNs). Weibo (i.e., Chinese version microblogging) are chosen build real quantified them analyzed according model proposed in this paper. MATLAB employed simulate validate model. Results show comprehensive increases rise two factors: number connected frequency their interaction. Indirect becomes stronger than direct when scope rises. help relevant organizations effectively oversee MSNs.
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ژورنال
عنوان ژورنال: Journal of Global Information Management
سال: 2021
ISSN: ['1533-7995', '1062-7375']
DOI: https://doi.org/10.4018/jgim.20210701.oa5