{"title":"社会网络免疫策略:模拟工具调查的经验","authors":"I. Zimin, E. Zamyatina","doi":"10.1109/AICT50176.2020.9368739","DOIUrl":null,"url":null,"abstract":"The paper considers the issues of preventing the spread of harmful information in the social networks and suggests using simulation tools to develop various strategies that reduce the risk of this information diffusion. The authors put forward requirements for a simulation system to solve such problems, provide information on the developed software and then consider its functionality using the dynamic immunization strategy as an example.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Strategies of the Social Network Immunization: An Experience of an Investigation by Simulation Tools\",\"authors\":\"I. Zimin, E. Zamyatina\",\"doi\":\"10.1109/AICT50176.2020.9368739\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper considers the issues of preventing the spread of harmful information in the social networks and suggests using simulation tools to develop various strategies that reduce the risk of this information diffusion. The authors put forward requirements for a simulation system to solve such problems, provide information on the developed software and then consider its functionality using the dynamic immunization strategy as an example.\",\"PeriodicalId\":136491,\"journal\":{\"name\":\"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AICT50176.2020.9368739\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICT50176.2020.9368739","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Strategies of the Social Network Immunization: An Experience of an Investigation by Simulation Tools
The paper considers the issues of preventing the spread of harmful information in the social networks and suggests using simulation tools to develop various strategies that reduce the risk of this information diffusion. The authors put forward requirements for a simulation system to solve such problems, provide information on the developed software and then consider its functionality using the dynamic immunization strategy as an example.