期刊文献+

微博感知突发重大新闻事件的研究与分析 被引量:6

Investigating the role of microblog in breaking news reporting
在线阅读 下载PDF
导出
摘要 微博的出现打断了传统媒体对新闻报道的垄断,它能快速的发现重大事件,并迅速报道,形成一股强大的信息传播力量。本文通过从突发重大新闻事件发生时微博的反应,研究了微博对重大新闻事件感知速度和传播范围及其产生的影响。 The emergence of microblog interruptes the traditional media's monopoly on news coverage. It can quickly find and report breaking news, promoting information transfer. In this paper, perception speed, spread range, and impact of important news events by the microblogs are analyzed.
作者 丁荩 涂浩
出处 《广西大学学报(自然科学版)》 CAS CSCD 北大核心 2011年第A01期335-338,共4页 Journal of Guangxi University(Natural Science Edition)
基金 中央高校基本科研业务费专项(2011JC067) 中国下一代互联网应用示范项目(CNGI2008-122) 湖北省自然科学基金资助项目(2010CDB02306)
关键词 微博 社交网络 内容挖掘 突发事件 microblog social network content mining emergencies
  • 相关文献

参考文献8

二级参考文献42

  • 1黄永光,刘挺,车万翔,胡晓光.面向变异短文本的快速聚类算法[J].中文信息学报,2007,21(2):63-68. 被引量:17
  • 2Retal A. Database mining: a performance perspective [J ]. IEEE Transactions on Knowledge and Data Engineering, 1993(5) :914 - 925.
  • 3Han J, Micheline K. Data mining concepts and techniques [ M ]. Chicago.. Morgan Kaufmann Publishers, 2000.
  • 4[1]Warren R Greiff. A Theory of Term Weighting Based on Exploratory Data Analysis, www. cs. umass.edu/~ greiff/
  • 5[2]Kaski S, Lagus K, Honkela T et al. Statistical Aspects of the WFEBSOM System in Organizing Document Collections. Computer Science and Statistics, 1998, (29) :281 - 290
  • 6A.K. JAIN, M.N. MURTY, P.J. FLYNN. Data Clustering: A Review[J]. ACM Computing Surveys, September 1999, 31(3).
  • 7Wang L, Jia Y, Han W H. Instance message clustering based on extended vector space model[EB/OL]. Proceedings of 2^nd Iternational Symposium on Intelligence Computation and Applications. Wuhan, China: Springer, 2007: 435-443.
  • 8He H, Chen B, Xu W R, Guo J. Short text feature extraction and clustering for web topic mining [EB/ OL]. Proceeding of the 3^rd International Conference on Semantics, Knowledge and Grid. Washington D. C. , USA: IEEE, 2007: 382-385.
  • 9http://tech. ifeng. com/internet/detail _ 2010 _ 08/09/ 1600761_0.shtml[DB/OL].
  • 10HARTIGAN, J. and WONG, M. Algorithm AS136: A k-means clustering algorithm[J]. Applied Statistics, 1979,28: 100-108.

共引文献230

同被引文献85

引证文献6

二级引证文献13

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