User Real-Time Influence Ranking Algorithm of Social Networks Considering Interactivity and Topicality

At present, the existing influence evaluation algorithms often ignore network structure attributes, user interests and the time-varying propagation characteristics of influence. To address these issues, this work comprehensively discusses users’ own influence, weighted indicators, users’ interaction...

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Detalles Bibliográficos
Autores principales: Li, Zhaohui, Piao, Wenjia, Sun, Zhengyi, Wang, Lin, Wang, Xiaoqian, Li, Wenli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297424/
https://www.ncbi.nlm.nih.gov/pubmed/37372270
http://dx.doi.org/10.3390/e25060926

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297424/
https://www.ncbi.nlm.nih.gov/pubmed/37372270
http://dx.doi.org/10.3390/e25060926

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