社会网络免疫策略:模拟工具调查的经验

I. Zimin, E. Zamyatina
{"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}
引用次数: 0

摘要

本文考虑了防止有害信息在社交网络中传播的问题,并建议使用模拟工具来制定各种策略,以减少这种信息扩散的风险。针对这些问题,作者提出了仿真系统的需求,给出了所开发软件的相关信息,并以动态免疫策略为例对其功能进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信