Evolving complex network model based on Agent
Guixiang Xue
Abstract
Guixiang Xue
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.
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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 concepts: Computer science, Robustness (evolution), Property (philosophy), Complex network, Clustering coefficient, Dynamic network analysis, Network model, Node (physics)