Evolving complex network model based on Agent

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Evolving complex network model based on Agent

Received:2008-05-15 Revised:1900-01-01 Online:2008-11-01 Published:2008-11-01
Contact: Gui-xiang Xue

基于智能Agent的复合网络演化模型

史伟赵政薛桂香

天津大学天津大学天津大学

通讯作者: 薛桂香

Abstract

Abstract: In order to find connections between network structure and network action, a new dynamic evolving model based on Dynamic Agent (DA) was proposed. Every node in network was modeled as an agent that had life and evolved according to its own strategy. The experimental results show that this model possesses good properties such as small-world property, scale-free property and large clustering coefficient, which reflect the real networks very well. Furthermore, this model improves the robustness of traditional models when attacked.

Key words: complex networks, evolving model, Agent

摘要： 为了更好地理解网络结构与网络行为之间的关系，提出了一种基于Agent的动态网络演化模型DA，把网络中的每个节点建模成一个智能Agent，每个Agent节点具有一定的寿命并根据自己的演化策略进行演化。实验结果显示该模型涌现出了许多真实网络所具有的特性，准确地刻画了真实网络的演化规律，并且增强了传统模型在受到攻击时的鲁棒性。

关键词: 复杂网络, 演化模型, Agent

Wei Shi Zheng Zhao Gui-xiang Xue. Evolving complex network model based on Agent[J]. Journal of Computer Applications.

史伟赵政薛桂香. 基于智能Agent的复合网络演化模型[J]. 计算机应用.

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