电信科学 ›› 2016, Vol. 32 ›› Issue (1): 40-45.doi: 10.11959/j.issn.1000-0801.2016006

• 研究与开发 • 上一篇    下一篇

微博转发网络中的节点特征和传播模型

李晋1,杨子龙2   

  1. 1 北京信息科技大学，北京 100192
    2 解放军电子工程学院网络系，安徽 合肥 230037
  • 出版日期:2016-01-20 发布日期:2017-06-23
  • 基金资助:
    北京市教育委员会人文社会科学研究计划面上项目;北京市属高校教师专项培训2014年中青年骨干教师一般国外访问学者研修培训项目

Node characteristic and propagation model in microblog forwarding network

Jin LI1,Zilong YANG2   

  1. 1 Beijing University of Information Science and Technology,Beijing 100192,China
    2 School of Network,Electronic Engineering Institute,Hefei 230037,China
  • Online:2016-01-20 Published:2017-06-23
  • Supported by:
    Humanistic and Social Science Research Plan Project of Beijing Municipal Education Commission;Young and Middle-Aged Backbone Teachers Training Program for Visiting Scholars Abroad in Universities Owned by the Municipal Government of Beijing in 2014

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摘要：

微博作为重要的社交网络平台，具有传播快速、平台影响大的特点。微博用户的节点特征决定了其网络影响力。研究了微博转发网络中节点的度值特征和传播模型。首先通过区分信息流动方向构建了微博转发网络；其次分别讨论了出度—入度的均值和方差，明确二者的差异，并分析了考虑节点度值特征的信息传播过程；最后通过仿真验证可以看出：边的有向性对信息传播有着显著的影响，在有向条件下，渗流阈值增加，同样概率下传播范围变小，信息传播更为困难。

关键词: 转发网络, 微博, 度值特征, 信息传播

Abstract:

Microblog is an important social network with rapid propagation speed and great influence.The network influence is determined by users' node characteristic.Nodes' degree and propagation model in microblog forwarding network were investgated.Firstly,microblog forwarding network was constructed through distinguishing information flow direction.Secondly,the mean and variance of out-degree and in-degree were discussed.The difference between out-degree and in-degree was clarified.Finally,the simulation shows that the direction characteristic of edge has significantly influence on information propagation.The propagation becomes harder and propagation range diminishes while percolation threshold rises in directed graph under the same probability.

Key words: forwarding network, microblog, degree characteristic, information propagation

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