北京邮电大学学报(社会科学版) ›› 2010, Vol. 12 ›› Issue (5): 32-37.

• 互联网治理与法律 • 上一篇    下一篇

基于有害信息传播模型的互联网治理研究

  

  1. 1.北京邮电大学 经济管理学院,北京100876; 2.中国联通 研究院,北京100032
  • 收稿日期:2010-07-12 出版日期:2010-10-30 发布日期:2010-10-30

Research on Internet Governance based on Harmful Information Propagation Model

  1. 1.School of Economics and Management, Beijing University of Posts and Telecommunications,
    Beijing 100876, China; 2.China Unicom Research Institute, Beijing 100032, China
  • Received:2010-07-12 Online:2010-10-30 Published:2010-10-30

摘要:

互联网上的有害信息一直制约着网络化进程,成为互联网治理的一个非常重要的环节,有效清理有害信息就必须研究其在互联网上的传播机制。在结合互联网拓扑结构和生物学动态行为传播模型的基础上,提出一种分别在自由空间和受到治理两种情况下的互联网有害信息传播模型。从这两种模型的实际结果分析可以看出,互联网拓扑结构决定了有害信息的传播机制,在自由空间模型下,减少互联网中感染节点的感染系数、集中节点中的感染节点数目可以防止有害信息的传播;而在受到治理的模型下,实时地维护好互联网中的集中节点,减少普通节点中感染节点的感染系数和增加治理系数是治理互联网有害信息的途径之一。

关键词: 互联网治理, 有害信息, 互联网拓扑, 传播模型

Abstract:

The harmful information on Internet has been restricting the process of network, and become a very important part in Internet governance. In order to clean the harmful information effectively, we must study its propagation mechanism on the Internet. Based on the Internet topology and dynamic behavior of the biological propagation model, this paper separately presents a harmful Internet information propagation model in free space and in the governance condition. From the results of the two models, we can see that the structure of Internet topology determines the harmful information propagation mechanism. In the free space model, reducing the infection coefficient of infected nodes and the number of infected nodes in central nodes is an effective way to prevent harmful information propagation. And in the governance propagation model, protecting the central nodes, reducing the infection coefficient of infected central nodes and increasing the governance coefficient is one of ways to governance the Internet harmful information.

Key words: Internet governance, harmful information, Internet topology, propagation model

中图分类号: