SCWIR: A rumor propagation model considering user waiting behavior

SCWIR: A rumor propagation model considering user waiting behavior | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article SCWIR: A rumor propagation model considering user waiting behavior Hai Wu, Xin Yan, Hongbin Wang, Shengxiang Gao, Zhongying Deng This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4251257/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The rapid development of the Internet has brought convenience to people in accessing information, but it has also exacerbated the spread of rumors. Therefore, it becomes crucial to study the propagation patterns of rumors and devise corresponding suppression strategies. In the study of rumor propagation, the existing rumor propagation model studies have not fully considered the neutral wait-and-see population, nor have they taken into account the possibility of users waking up midway after believing in the rumor to wait and see for a second time. To address the above shortcomings, this paper established the SCWIR (Susceptible, Commented, Waited, Infected, Recovered) rumor propagation model, which introduced the Commenter (Commented, C) and the Waited (Waited, W) to better model users' positions of commenting and neutral waiting in rumor events. Based on the proposed model, this paper investigated the transformation process of five types of users, namely susceptible users, commenters, waiting users, spreaders, and recovery users, under the influence of government intervention, higher education coverage rate, and information timeliness; and conducted simulation experiments to verify the validity of the proposed model. The research results show that the model proposed in this paper can better reflect the possible behaviors of users such as commenting on rumors, neutral waiting, and spreading rumors during the rumor-spreading process. It achieves good performance in predicting the peak periods of rumor outbreaks, the peak value of outbreaks, the lifecycle of rumors, and the changing proportions of various members over time. Internet rumors SCWIR model Online social networks Government intervention Higher education coverage rate Information timeliness Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4251257","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":299218398,"identity":"1fa2a7d0-404e-4751-af04-6599f3e280ee","order_by":0,"name":"Hai Wu","email":"","orcid":"","institution":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Hai","middleName":"","lastName":"Wu","suffix":""},{"id":299218399,"identity":"233cae1f-078b-4b79-a253-0ecdad95380d","order_by":1,"name":"Xin Yan","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA00lEQVRIie3NMQrCMBSA4VcinVq7Joie4ZVClxbPIhT0Bs6CkEmdBS/imBLQpTRrpQ56AMFRB8FqcW3jJpgfEl7gfQTAZPrFyPuOsX7Z+mSM9aRF6uQXBPfujt63KkClBFynErzNrJmweXfMllkZYpGAtc4l0KNoJh5xQuryMsaCAHG5BKSjZmJXhD14HqOSQB465PVLz+UiRJEAsXQImztB1OdJwIoE00U+cWjRQlBl/uHCh/5KpefTbRoNvHULqerQzySq47TuV5GrzpbJZDL9cU8mjDxcP2YyIwAAAABJRU5ErkJggg==","orcid":"","institution":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology","correspondingAuthor":true,"prefix":"","firstName":"Xin","middleName":"","lastName":"Yan","suffix":""},{"id":299218402,"identity":"fa84a8bc-1647-4d42-a80c-f77a33757272","order_by":2,"name":"Hongbin Wang","email":"","orcid":"","institution":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Hongbin","middleName":"","lastName":"Wang","suffix":""},{"id":299218405,"identity":"d30ec612-f8e4-4436-8a8c-44af0652bd74","order_by":3,"name":"Shengxiang Gao","email":"","orcid":"","institution":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Shengxiang","middleName":"","lastName":"Gao","suffix":""},{"id":299218408,"identity":"2012157d-1f0e-4e7d-9e38-b4bb95005e38","order_by":4,"name":"Zhongying Deng","email":"","orcid":"","institution":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Zhongying","middleName":"","lastName":"Deng","suffix":""}],"badges":[],"createdAt":"2024-04-11 08:47:47","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4251257/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4251257/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":56651393,"identity":"ca0a450c-e99a-4426-bd8f-998687298af1","added_by":"auto","created_at":"2024-05-17 08:46:32","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":855059,"visible":true,"origin":"","legend":"","description":"","filename":"SCWIRArumorpropagationmodelconsideringuserwaitingbehavior.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4251257/v1_covered_d35f7483-3cfe-4694-864c-a5977e72f5b6.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"SCWIR: A rumor propagation model considering user waiting behavior","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Internet rumors, SCWIR model, Online social networks, Government intervention, Higher education coverage rate, Information timeliness","lastPublishedDoi":"10.21203/rs.3.rs-4251257/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4251257/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"The rapid development of the Internet has brought convenience to people in accessing information, but it has also exacerbated the spread of rumors. Therefore, it becomes crucial to study the propagation patterns of rumors and devise corresponding suppression strategies. In the study of rumor propagation, the existing rumor propagation model studies have not fully considered the neutral wait-and-see population, nor have they taken into account the possibility of users waking up midway after believing in the rumor to wait and see for a second time. To address the above shortcomings, this paper established the SCWIR (Susceptible, Commented, Waited, Infected, Recovered) rumor propagation model, which introduced the Commenter (Commented, C) and the Waited (Waited, W) to better model users' positions of commenting and neutral waiting in rumor events. 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