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24 May 2022 MUI-ISIDA: an improved calculation method for user influence in social networks
Shulin Cheng, Ziming Wang, Meng Qian, Shan Yang, Xin Zheng
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Proceedings Volume 12260, International Conference on Computer Application and Information Security (ICCAIS 2021); 1226027 (2022) https://doi.org/10.1117/12.2637483
Event: International Conference on Computer Application and Information Security (ICCAIS 2021), 2021, Wuhan, China
Abstract
With the popularization and development of the Internet, microblogs have become a mainstream social network platform. The evaluation of user influence has become a research hotspot. Most of the existing researches calculate influence by improving PageRank. But these researches ignored the relationship between users’ interest theme similarity and information dissemination, and didn’t have enough analysis about the interaction behaviors among users. Aiming at these problems, we proposed a new microblog user influence algorithm—MUI-ISIDA (microblog user influence based on interest similarity and information dissemination ability) in this paper, which takes into account users’ interest theme similarity and information dissemination ability. We verified the effectiveness of the proposed algorithm on Sina microblog dataset. The experimental results show that compared with PageRank and MR-UIRank, the proposed algorithm has achieved higher accuracy in user influence ranking.
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Shulin Cheng, Ziming Wang, Meng Qian, Shan Yang, and Xin Zheng "MUI-ISIDA: an improved calculation method for user influence in social networks", Proc. SPIE 12260, International Conference on Computer Application and Information Security (ICCAIS 2021), 1226027 (24 May 2022); https://doi.org/10.1117/12.2637483
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KEYWORDS
Social networks
Diffusion tensor imaging
Internet
Mining
Analytical research
Lithium
Statistical analysis
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