期刊文献+

微博用户影响力的评估 被引量:4

Influence Assessment on Microblog Users
原文传递
导出
摘要 作为一种便捷的社交网络平台,微博已成为人们进行信息交流的重要媒介。微博活跃用户多,信息发布方式多、方便快捷,信息传播快速,范围广,极易形成网络舆情。微博博主对信息传播起着决定作用,而其在网上的影响力对其传播有很大影响。在消息的传播分析以及用户个体行为分析的基础上,提出影响力评估体系。该系统利用实例提供的数据,通过AHP方法,可计算出用户的影响力并排名,比较合理地体现了用户的实际影响力。 As a convenient social network platform, microblog becomes an important medium for the people's information exchange. Microblog, with many active users, information dissemination methods, convenient and fast information dissemination, and wide transmission range, could easily form the network public opinion. Micro bloggers play a decisive role in information propagation, and their influence on the Internet greatly affects the information transmission. Based on analysis of news propagation user individual behavior, the influence assessment system is proposed. With the data provided by the example and AHP method, this system could calculate and rank the user's influence, and properly reflect the user's actual influence .
出处 《信息安全与通信保密》 2013年第6期53-55,共3页 Information Security and Communications Privacy
关键词 微博 影响力 消息传播 个体行为 microblog influence information propagation individual behavior
  • 相关文献

参考文献9

二级参考文献68

共引文献288

同被引文献32

  • 1Noor Huijboom, Tijs van den Bmek, Valerie Frissen, et al. Key Areas in the Public- sector Impact of Social Computing [ R ], 2009.
  • 2Leavitt A, Burchard E, Fisher E, et al. Gilbert. The Influentials: New Approaches For Analyzing Influence On Twitter [ J ]. Web Ecology Project, 2009, 4 (2) : 1-18.
  • 3Weng J, Lim E P, Jiang J, et al. Twitter Rank: Finding topic- sensitive influential TwiRcrers[C ]. ACM WSDM, New York, 2010, 261-270.
  • 4Cha M, Haddadi H, Benevenuto F, et al. Gummadi. Measuring User Influence in Twitter: the Million Follower Fallacy I C ]. ngs of the Fourth International AAAI Conference on Weblogs and Social MediaWashington DC, USA, 2010, 10- 17.
  • 5Nitzan I, Libai B. Social effects on customer retention [ J ]. Ioumal of Marketing, 2011, 75(6): 24-38.
  • 6Huberman B A, Romero D M, Wu F. Social net- works that matter: twitter under the microscope [EB/OL]. (2011-03-11). [2014-09-08]. http..// firstmonday, org/htbin/cgiwrap/bin/oj s/index. php/ fm/ article/ view/ 2317 / 2063.
  • 7Cha M, Haddadi H, Benevento F, et al. Measur- ing user influence in twitter: the million follower fallacy [EB/OL]. (2013-03-02). [2014-09-06]. http ://www. aaai/ocs/index, php/icwsm/ic- wsml0/paper/viewFile/1538/1826.
  • 8Tunkelang, D. A twitter analog to PageRank [EB/OL]. (2009-01-13). [2014-09-06]. http:// thenoisyehannel, com/2009/01/13/a-twitter-ana- log-to-pagerank/.
  • 9Page L, Brin S, Motwani R, et al. The PageRank citation ranking: Bringing order to the we b [R]. Stanford Digital Libraries, 1999.
  • 10Matthew Ri, Pedro D. Combing link and content in- formation in web search [EB/OL]. (2012-08-21). [2014-09-06]. http://www, ese. Lehigh. edu/.

引证文献4

二级引证文献38

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