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Based on hypergraph theory, this paper augments the traditional SEIR model by introducing a novel hypernetwork information dissemination SSEIR model specifically designed for online social networks. This model accurately represents complex, multi-user, high-order interactions. It transforms the traditional single susceptible state (S) into active (Sa) and inactive (Si) states. Additionally, it enhances traditional information dissemination mechanisms through reaction process strategies (RP strategies) and formulates refined differential dynamical equations, effectively simulating the dissemination and diffusion processes in online social networks. Employing mean field theory, this paper conducts a comprehensive theoretical derivation of the dissemination mechanisms within the SSEIR model. The effectiveness of the model in various network structures was verified through simulation experiments, and its practicality was further validated by its application on real network datasets. The results show that the SSEIR model excels in data fitting and illustrating the internal mechanisms of information dissemination within hypernetwork structures, further clarifying the dynamic evolutionary patterns of information dissemination in online social hypernetworks. This study not only enriches the theoretical framework of information dissemination but also provides a scientific theoretical foundation for practical applications such as news dissemination, public opinion management, and rumor monitoring in online social networks.<\/jats:p>","DOI":"10.3390\/e26110957","type":"journal-article","created":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T07:47:16Z","timestamp":1730965636000},"page":"957","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Information Propagation in Hypergraph-Based Social Networks"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9245-5688","authenticated-orcid":false,"given":"Hai-Bing","family":"Xiao","sequence":"first","affiliation":[{"name":"School of Computer, Qinghai Normal University, Xining 810008, China"},{"name":"The State Key Laboratory of Tibetan Intelligent Information Processing and Application, Xining 810008, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7016-6781","authenticated-orcid":false,"given":"Feng","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Computer, Qinghai Normal University, Xining 810008, China"},{"name":"The State Key Laboratory of Tibetan Intelligent Information Processing and Application, Xining 810008, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3097-112X","authenticated-orcid":false,"given":"Peng-Yue","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer, Qinghai Normal University, Xining 810008, China"},{"name":"The State Key Laboratory of Tibetan Intelligent Information Processing and Application, Xining 810008, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu-Rong","family":"Song","sequence":"additional","affiliation":[{"name":"College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zi-Ke","family":"Zhang","sequence":"additional","affiliation":[{"name":"Center for Digital Communication Studies, Zhejiang University, Hangzhou 310058, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1016\/j.telpol.2015.07.014","article-title":"Social media definition and the governance challenge: An introduction to the special issue","volume":"39","author":"Obar","year":"2015","journal-title":"Telecommun. 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