Lei Hong1,*, Jie Yin1, Ling-Ling Xia1, Chao-Fan Gong1, Qi Huang2
Intelligent Automation & Soft Computing, Vol.29, No.2, pp. 437-449, 2021, DOI:10.32604/iasc.2021.016259
Abstract The short-video platform is a social network where users’ content accelerates the speed of information dissemination. Hence, it is necessary to identify important users to effectively obtain information. Four algorithms (Followers Rank, Average Forwarding, K Coverage, and Expert Survey and Evaluation) have been proposed to calculate users’ influence and determine their importance. These methods simply take the number of a user’s fans or posts as the standard of influence evaluation, ignoring factors such as the paid posters, which makes such evaluations inaccurate. To solve these problems, we propose the short-video user influence rank (SVUIR) algorithm, which combines direct and indirect… More >
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