Network public opinion evolution simulation modeling based on generative adversarial network and SEIR model

Network public opinion evolution simulation modeling based on generative adversarial network and SEIR model | 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 Network public opinion evolution simulation modeling based on generative adversarial network and SEIR model Jintao Wang, Yulong Yin, Lina Wei This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4822868/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 16 Apr, 2025 Read the published version in Social Network Analysis and Mining → Version 1 posted 10 You are reading this latest preprint version Abstract It is often accompanied by the spread of network public opinion events when an emergency occurs, which is easy to cause obvious emotional fluctuations in society. Therefore, how to build a more realistic evolution model of public opinion, so as to grasp and predict the development trend of public opinion in time, is an urgent issue. Based on the Generative Adversarial Network (GAN) and SEIR model, this paper constructs the GAN-SEIR model for the simulation of the evolution of public opinion in social networks. Firstly, an evolution model of network public opinion is constructed by referring to the SEIR epidemic model. Secondly, based on the generative adversarial network, the relationship between the interaction of each element in the system is determined, so that the information propagation in the GAN-SEIR model is more consistent with the complexity of actual propagation. Then, the system dynamics module of Anglogic platform is used to simulate the evolution trend of public opinion. By simulating the logical structure of each related element in the network public opinion system, and the future development trend of the network public opinion is obtained from the internal motivation of the public opinion event system. Finally, the actual data of China Eastern Airlines 3.21 accident was used as a real case support for verification. The results show that the error between the predicted data and the actual data is within 3%, which proves that the model can effectively predict and track the development of network public opinion. Network public opinion SEIR Model Generative adversarial network Anylogic System dynamics model Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 16 Apr, 2025 Read the published version in Social Network Analysis and Mining → Version 1 posted Editorial decision: Revision requested 04 Nov, 2024 Reviews received at journal 03 Nov, 2024 Reviewers agreed at journal 01 Nov, 2024 Reviewers agreed at journal 08 Oct, 2024 Reviews received at journal 20 Sep, 2024 Reviewers agreed at journal 24 Aug, 2024 Reviewers invited by journal 22 Aug, 2024 Editor assigned by journal 08 Aug, 2024 Submission checks completed at journal 30 Jul, 2024 First submitted to journal 29 Jul, 2024 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. 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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-4822868","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":344714220,"identity":"f54409dd-b2ef-4188-92cc-531f3efd0fbe","order_by":0,"name":"Jintao Wang","email":"","orcid":"","institution":"Shenyang Aerospace University","correspondingAuthor":false,"prefix":"","firstName":"Jintao","middleName":"","lastName":"Wang","suffix":""},{"id":344714221,"identity":"1ef68824-5709-487b-b0f3-fff463359d7f","order_by":1,"name":"Yulong Yin","email":"","orcid":"","institution":"Shenyang Aerospace University","correspondingAuthor":false,"prefix":"","firstName":"Yulong","middleName":"","lastName":"Yin","suffix":""},{"id":344714222,"identity":"64526c2d-3294-4278-9cbb-428e1731eba7","order_by":2,"name":"Lina Wei","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA7UlEQVRIiWNgGAWjYDACZhBRAGIwH3zwoUJCTp44LQZAzN6WbDjjjIWxYQNRVoG08Jwxk+Zsq0hkOEBI8XHeY9I8BjZ58hE5BtKM8yQSGBuYHz66gU/LYb40oJa0YsMbaQXGhdsk8tgZ2IyNc/Bq4TEDajmcuHFG8obkmdskihkbeNikidSSYHCYd45EYsMBYrXM5zli2MzbQIQWycM8xpZzDNISNwADmXHGMQljw2YCfuE7f8bwxpsKm8T5zczHf3yoqZOTZ29++BifFoUDDCwSYBcegAkx41EOAvINDMwfoIxRMApGwSgYBdgBAMZbS0J/UASkAAAAAElFTkSuQmCC","orcid":"","institution":"Shenyang Aerospace University","correspondingAuthor":true,"prefix":"","firstName":"Lina","middleName":"","lastName":"Wei","suffix":""}],"badges":[],"createdAt":"2024-07-29 14:44:25","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4822868/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4822868/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s13278-025-01426-x","type":"published","date":"2025-04-16T15:58:01+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":81051499,"identity":"2344c01f-3e50-4019-8271-1d1bb4e80248","added_by":"auto","created_at":"2025-04-21 16:10:49","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":778556,"visible":true,"origin":"","legend":"","description":"","filename":"NetworkpublicopinionmodelingbasedonGANandSEIRmodel.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4822868/v1_covered_9dda9f0a-47f9-4d96-9a03-27fff812a797.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Network public opinion evolution simulation modeling based on generative adversarial network and SEIR model","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"social-network-analysis-and-mining","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"snam","sideBox":"Learn more about [Social Network Analysis and Mining](http://link.springer.com/journal/13278)","snPcode":"13278","submissionUrl":"https://submission.nature.com/new-submission/13278/3","title":"Social Network Analysis and Mining","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Network public opinion, SEIR Model, Generative adversarial network, Anylogic, System dynamics model","lastPublishedDoi":"10.21203/rs.3.rs-4822868/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4822868/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIt is often accompanied by the spread of network public opinion events when an emergency occurs, which is easy to cause obvious emotional fluctuations in society. Therefore, how to build a more realistic evolution model of public opinion, so as to grasp and predict the development trend of public opinion in time, is an urgent issue. Based on the Generative Adversarial Network (GAN) and SEIR model, this paper constructs the GAN-SEIR model for the simulation of the evolution of public opinion in social networks. Firstly, an evolution model of network public opinion is constructed by referring to the SEIR epidemic model. Secondly, based on the generative adversarial network, the relationship between the interaction of each element in the system is determined, so that the information propagation in the GAN-SEIR model is more consistent with the complexity of actual propagation. Then, the system dynamics module of Anglogic platform is used to simulate the evolution trend of public opinion. By simulating the logical structure of each related element in the network public opinion system, and the future development trend of the network public opinion is obtained from the internal motivation of the public opinion event system. Finally, the actual data of China Eastern Airlines 3.21 accident was used as a real case support for verification. The results show that the error between the predicted data and the actual data is within 3%, which proves that the model can effectively predict and track the development of network public opinion.\u003c/p\u003e","manuscriptTitle":"Network public opinion evolution simulation modeling based on generative adversarial network and SEIR model","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-08-26 05:24:34","doi":"10.21203/rs.3.rs-4822868/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-11-04T22:59:59+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-11-04T01:57:53+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"25880842195582634154427423052553289050","date":"2024-11-01T11:20:37+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"298951615610945034280403483186716668447","date":"2024-10-08T04:58:49+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-09-20T05:27:59+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"266047917541862133782363828895026392244","date":"2024-08-25T00:24:15+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-08-22T20:16:57+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-08-08T06:20:17+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-07-30T07:04:16+00:00","index":"","fulltext":""},{"type":"submitted","content":"Social Network Analysis and Mining","date":"2024-07-29T14:42:51+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"social-network-analysis-and-mining","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"snam","sideBox":"Learn more about [Social Network Analysis and Mining](http://link.springer.com/journal/13278)","snPcode":"13278","submissionUrl":"https://submission.nature.com/new-submission/13278/3","title":"Social Network Analysis and Mining","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"26018c26-d659-4df1-b2ab-24e726f563a3","owner":[],"postedDate":"August 26th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-04-21T16:09:51+00:00","versionOfRecord":{"articleIdentity":"rs-4822868","link":"https://doi.org/10.1007/s13278-025-01426-x","journal":{"identity":"social-network-analysis-and-mining","isVorOnly":false,"title":"Social Network Analysis and Mining"},"publishedOn":"2025-04-16 15:58:01","publishedOnDateReadable":"April 16th, 2025"},"versionCreatedAt":"2024-08-26 05:24:34","video":"","vorDoi":"10.1007/s13278-025-01426-x","vorDoiUrl":"https://doi.org/10.1007/s13278-025-01426-x","workflowStages":[]},"version":"v1","identity":"rs-4822868","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4822868","identity":"rs-4822868","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}