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。
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.
出处
《计算机应用》
CSCD
北大核心
2008年第11期2771-2773,2777,共4页
journal of Computer Applications
基金
天津市应用基础前沿技术研究计划重点项目(07JCZDJC06700)
