Microblog burst topic diffusion prediction algorithm based on the users and node scale
Wei WANG1,Rui-guang LI2,Yuan ZHOU2,Wu YANG1()
1 Information Security Research Center, Harbin Engineering University, Harbin 150001, China 2 National Computer Network Emergency Response Technical Team/Coordination Center, Beijing 100029, China
Online:2013-08-25
Published:2017-06-23
Supported by:
The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National High Technology Re-search and Development Program of China (863 Program);Fundamental Research Funds for the Central Universi-ties
Wei WANG,Rui-guang LI,Yuan ZHOU,Wu YANG. Microblog burst topic diffusion prediction algorithm based on the users and node scale[J]. Journal on Communications, 2013, 34(Z1): 84-91.
KUO T T , HUNG S C , LIN W S . Exploiting latent information to predict diffusions of novel topics on social networks[A]. Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics[C]. Stroudsburg, PA, USA, 2012.344-348.
[2]
ROMERO M.D , MEEDER B , KLEINBERG J . Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitter[A]. Proceedings of the 20th International Conference on World Wide Web[C]. New York, NY, USA, 2011.695-704.
[3]
韩兰胜 . 计算机病毒的传播模型及其求源问题研究[D]. 武汉: 华中科技大学. 2006. HAN L S . Research on Propagation Model and Source Seeking of Computer Virus[D]. Wuhan: Huazhong University of Science and Technology, 2006.
[4]
赵丽, 袁睿翁, 管晓宏 . 博客网络中具有突发性的话题传播模型[J]. Journal of Software, 2009,20(5):1384-1392. ZHAO L , YUAN R X , GUAN X H . Bursty propagation model for in-cidental events in blog networks[J]. Journal of Software, 2009,20(5):1384-1392.
[5]
孙留东 . 博客网络中突发话题传播模型及网络特性研究[D]. 重庆: 重庆邮电大学, 2011. SUN L D . Research on Evolution Emergment Events and Network Property in Blog[D]. Chongqing: Chongqing University of Posts and Telecommunications, 2011.
[6]
HE D , PARKER D S . Topic dynamics: an alternative model of bursts in streams of topics[A]. Proceedings of the 16th ACM SIGKDD In-ternational Conference on Knowledge Discovery and Data Mining[C]. New York, NY, USA, 2010.443-452.
[7]
孙胜平 : 中文微博客热点话题检测与跟踪技术研究[D]. 北京: 北京交通大学, 2011. SUN S P . Research on Chinese Micro-Blog Hot Topic Detection and Tracking[D]. Beijing: Beijing Jiaotong University, 2011.