The Double Immunization Strategy Research Based on the Tibetan Web Community Division

Jiang Jing, M. An, Chen Xinyi, Liu Yunjie
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Abstract

Through real time crawling network topology structure of Tibetan Web, analyzing the topology structure, first of all do the community division to find the nodes with the weak ties features by network topology structure and the theory of the community division. At the beginning of the immune, the nodes with weak ties are immune first, then the maximum degree of acquaintance immunization strategy were used according to the structure features of the community. Through analyzing the experimental data, the computation and immune cost of immunization strategy proposed in this paper are relatively smaller, and the immune effect are better, the method can effectively reduce the harm of the virus spreading to the network.
基于藏文网络社区区划的双重免疫策略研究
通过实时抓取藏文网的网络拓扑结构,对其拓扑结构进行分析,首先根据网络拓扑结构和社区划分理论进行社区划分,寻找具有弱联系特征的节点。免疫开始时,先对联系较弱的节点进行免疫,然后根据群体结构特点采用最大相识度免疫策略。通过对实验数据的分析,本文提出的免疫策略的计算量和免疫成本相对较小,免疫效果较好,可以有效降低病毒传播对网络的危害。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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