期刊文献+

一种改进的移动社交网络SEIR信息传播模型研究 被引量:20

An improved SEIR Information Transmission Model on the Mobile Social Network
原文传递
导出
摘要 随着移动互联技术的发展,移动社交网络正改变着人们进行信息交流与共享的模式。其中,微信作为当前最流行的、具有一定代表性的移动社交软件,其众多功能和及时性、社交化的特点,吸引众多用户运用微信进行信息的实时交流和共享。以微信朋友圈为研究对象,分析了微信的信息传播特点与传播机制,在此基础上,引入用户相似度、信息价值和信息时效性等影响因素构建了一种适用于解释微信朋友圈信息传播规律的改进的SEIR信息传播的系统动力学模型,仿真实验表明该改进的信息传播模型能较好解释相关影响因素对微信信息传播的影响。 With the development of mobile internet technology and the rise of mobile social network, the mode of people' s exchanging and sharing information is changing. With its features of muhifunctionality, timeliness and sociability, the WeChat, as the most popular instant messaging social software, promotes people' s real-time information communication. This paper , takes circle of friends as the research object, analysises the information transmission characteristics and mechanism of the WeChat. Based on that, through introducing three new factors of user similarity, information value and information timeliness, an improved SEIR system dynamics model is built to explain some laws of information transmission of the WeChat. The simulation experiments shows the improved SEIR model can better explain the influence of the related factores on the information dissemination of the WeChat.
出处 《情报科学》 CSSCI 北大核心 2016年第3期92-97,共6页 Information Science
基金 国家自然科学基金项目(71103138) 中央高校基本科研业务费专项资金资助项目(BDY231414)
关键词 信息传播模型 移动社交网络 微信 改进的SEIR模型 information dissemination model mobile social network WeChat improved SEIR model
  • 相关文献

参考文献18

  • 1黄晓斌,刘薇,帕尔哈提.尼加提.微博客的特点及其在企业竞争情报中的应用[J].情报理论与实践,2012,35(5):1-4. 被引量:16
  • 2百度百科.微信.[EB/OL]http://baike.baidu.corn/link?url=UnS45ztZFSKJqFrjye9skCv3LOJ8wjrgJomo80Rvko-flqM9kSnE3h-cP2DF7X-zM4zVtB1O7nsMwRGzwCYmja,2013-11-20.
  • 3Salath~ M,JonesJH. Dynamics and control of diseases in network with community structure [J]. PLoS Com- putational Biology,2010,6(4) :e1000736.
  • 4Anderson R M,May R M. Infectious Diseases of Hu- mans: Dynamics and Control[M].Oxford Univ. Press,Oxford, 1991:99.
  • 5Barrat A, Weight M. On the properties of small world networks [J].Eur.Phys. J. B,2000,(13):547-560.
  • 6KEELING Matt J, EAMES Ken T D. Networks and epidemic models[J].Journal of The Royal Society In~ terface, 2005, 2(4): 295-307.
  • 7Kermack W,Mckendrick A.Contributions to the mathematical theory of epidemics[EB/OL], http://rs- pa.royalsocietypublishing.org/content/138/834/55. full.pdf,2013-11 - 25.
  • 8LIU Dechun, CHEN Xi. Rumor propagation in on- line social networks like Twitter- A simulation study [C]//Proc of the 2011 Third International Confer- ence on Multimedia Information Networking and Se- curity.Washington DC: IEEE Computer Society, 2011:278-282.
  • 9王昊,李义萍,冯卓楠,冯铃.ReTweeting Analysis and Prediction in Microblogs: An Epidemic Inspired Approach[J].China Communications,2013,10(3):13-24. 被引量:11
  • 10张彦超,刘云,张海峰,程辉,熊菲.基于在线社交网络的信息传播模型[J].物理学报,2011,60(5):60-66. 被引量:154

二级参考文献59

  • 1百度百科.微博客[EB/OL].[2010-01-20].http://baike.baidu.com/view/1259292.htm.
  • 2John H Clippingcr. A Crowd of One: The Future of Individual Identity [M]. New York, USA: Baker & Taylor Books, 2007.
  • 3Stauffer D. Opinion dynamics and sociophysics [EB/OL]. (2007-5-7) http://arixv, org/abs.0705.0891vl.
  • 4Stauffer D, De Oluveira S, De Oliveira PMC, et al. Biology, geology, sociology by computational physicist [M]. Amsterdam, The Netherlands: Elsevir, 2006.
  • 5Stauffer D. Sociophysics simulations II: Opinion Dynamics [C]// AIP Conference Proceedings, Granada, Spain, 2005, 779: 56-68.
  • 6Pluchino A, Latora V, Rapisarda A, Changing Opinion in a Changing World: a New Persepective in Sociophysics [J]. International Journal of Modem Physics C (S0129-1831), 2005, 16(4): 515-531.
  • 7Minsky M. Society of Mind [EB/OL]. (1988-03-15) http://www.ebookee.net/Society-of-Mind 201272. html.
  • 8R L Flood, E R Carson. Dealing with Compleity [M]. New York, USA: Plenum Press, 1993: 19-20.
  • 9中国微博元年市场白皮书[EB/OL].http://www.slideshare.net/meiti6/ss-5266361,2010-09-09.
  • 10CNNIC.第28次中国互联网络发展状况统计报告[R/OL].http://www.cnnic.net.cn/dtygg/dtgg/201107/t20110719_22132.html.

共引文献202

同被引文献145

引证文献20

二级引证文献119

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部