在线社交网络中具有人口动态的SIS谣言传播模型

Suyalatu Dong, Yong-chang Huang
{"title":"在线社交网络中具有人口动态的SIS谣言传播模型","authors":"Suyalatu Dong, Yong-chang Huang","doi":"10.1109/WISPNET.2018.8538507","DOIUrl":null,"url":null,"abstract":"Based on the characteristics of rumor spreading in online social networks, this paper proposes a new rumor spreading model. This is a SIS rumor spreading model in online social networks that combines the transmission dynamics and population dynamics so that the impact of changing number of online social network users and user activity is considered. We numerically simulate the rumor spreading process. The results of numerical simulation show that the improved SIS model can successfully characterize the rumor spreading behavior in online social networks. We also give the effective strategies of curbing the rumor spreading in online social networks.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"SIS Rumor Spreading Model With Population Dynamics in Online Social Networks\",\"authors\":\"Suyalatu Dong, Yong-chang Huang\",\"doi\":\"10.1109/WISPNET.2018.8538507\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the characteristics of rumor spreading in online social networks, this paper proposes a new rumor spreading model. This is a SIS rumor spreading model in online social networks that combines the transmission dynamics and population dynamics so that the impact of changing number of online social network users and user activity is considered. We numerically simulate the rumor spreading process. The results of numerical simulation show that the improved SIS model can successfully characterize the rumor spreading behavior in online social networks. We also give the effective strategies of curbing the rumor spreading in online social networks.\",\"PeriodicalId\":6858,\"journal\":{\"name\":\"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)\",\"volume\":\"1 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISPNET.2018.8538507\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISPNET.2018.8538507","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

本文根据网络社交网络中谣言传播的特点,提出了一种新的谣言传播模型。这是一个网络社交网络中的SIS谣言传播模型,它结合了传播动态和人口动态,从而考虑了网络社交网络用户数量和用户活跃度变化的影响。我们用数值模拟了谣言的传播过程。数值模拟结果表明,改进的SIS模型可以很好地表征在线社交网络中的谣言传播行为。本文还提出了遏制网络社交网络谣言传播的有效策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
SIS Rumor Spreading Model With Population Dynamics in Online Social Networks
Based on the characteristics of rumor spreading in online social networks, this paper proposes a new rumor spreading model. This is a SIS rumor spreading model in online social networks that combines the transmission dynamics and population dynamics so that the impact of changing number of online social network users and user activity is considered. We numerically simulate the rumor spreading process. The results of numerical simulation show that the improved SIS model can successfully characterize the rumor spreading behavior in online social networks. We also give the effective strategies of curbing the rumor spreading in online social networks.
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
期刊最新文献
Deep Reinforcement Learning for the Capacitated Vehicle Routing Problem with Soft Time Window Integrated Interference Solutions Between 5G and Satellite Systems Modulation Recognition Method of MAPSK Signal Artificial Intelligence Routing Method in Wireless Sensor Network for Sewage Treatment Monitoring Electromagnetically Induced Transparency in a Coupled NV Spin-Mechanical Resonator System
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1