通信学报 ›› 2012, Vol. 33 ›› Issue (Z1): 96-102.doi: 10.3969/j.issn.1000-436x.2012.z1.013

• 学术论文 • 上一篇    下一篇

微博中节点影响力度量与传播路径模式研究

于洪,杨显   

  1. 重庆邮电大学 计算机科学与技术学院,重庆 400065
  • 出版日期:2012-09-25 发布日期:2017-08-03
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;重庆市自然科学基金资助项目

Studying on the node’s influence and propagation path modes in microblogging

Hong YU,Xian YANG   

  1. Institute of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
  • Online:2012-09-25 Published:2017-08-03
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The Natural Science Foundation of Chongqing

摘要:

针对微博信息传播特点刻画微博传播网络并定义节点影响力来描述节点重要性,从而分析微博信息传播路径模式。首先采集单条微博的转播/评论数据并进行预处理;然后给出微博传播网络的形式化描述,从局部和全局2方面定义节点的影响力来刻画节点的重要性;比较实验说明新定义的影响力度量方法方法是可行的。同时,结合影响力度量给出了微博网络中信息传播路径的几种典型模式;采用软件NodeXL的可视化结果说明给出的信息传播路径模式具有一定的典型性。

关键词: 微博, 节点影响力, 信息传播, 路径

Abstract:

In order to analyze microblogging information propagation path modes,the node's influence to reflect its importance was defined based on considering the characteristics of information propagation in microblogging.Firstly,the broadcast/comment data of a microblogging was collected and preprocessed.Then,the formal description of the transmission network was given,and the node’s influence was defined which reflects its significance in the local and global aspects.The results of comparative experiments show that the new definition is reasonable.Besides,some information propagation path modes were proposed,which combine the measurement of influence.Finally,the results by using visualization software-NodeXL show that the information propagation path modes are typical.

Key words: microblogging, node’s influence, information propagation, path

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