基于复杂网络的抗毁性研究

Jiaming Zhu, Yuan Jiang, Ping Zhao, Fujin Jia, Shengwei Miao
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引用次数: 0

摘要

实际的多代理系统在各种复杂的网络环境中,代理本身可能由于受到外部攻击而导致本地信息交换暂停,代理之间的本地信息交换也会由于发送和接收信息相关的通信时间延迟。本文研究了度分布熵和平均两步度不仅可以作为网络生存能力的度量,而且有助于优化网络的生存能力。与度分布熵相比,平均两步度作为复杂网络异质性度量不仅包含了度分布的多样性信息,而且包含了网络拓扑的信息。因此,平均两步度是复杂网络异质性的较好度量。另外我们还可以采用最常用的方法,即通过保护关键节点来提高网络的生存性。还可以增加关键节点之间的链路冗余,提高网络的生存性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Based on the research of complex network invulnerability
The actual multi-agent system in a variety of complex network environment, the agent itself may be due to external attack led to the suspension of local exchange of information, The local information exchange between agents is also due to transmit and receive information associated with the communication time delay. In this paper, we study degree distribution entropy and the average two-step degree not only can be used as a measure of the network survivability but also can help to optimize the network survivability. Than degree distribution entropy, the average two-step degree as a complex network heterogeneity measure not only contains the diversity of degree distribution information, and contains the information of network topology. Therefore, the average two-step degree is a better measures of the heterogeneity of complex networks. In addition we can also use the most commonly used method, namely by protecting key nodes increasing network survivability. Also can increase the link redundancy between the key nodes, improve network survivability.
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