2008•Journal of Computer ApplicationsRequires access

Evolving complex network model based on Agent

Guixiang Xue

Open publisher page 0 citations

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.

About this research paper

What this paper is about

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.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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 concepts: Computer science, Robustness (evolution), Property (philosophy), Complex network, Clustering coefficient, Dynamic network analysis, Network model, Node (physics)

Related papers

Back to paper searchBrowse research topicsOriginal source
Evolving complex network model based on Agent — Research Paper | ScholarLens