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Evolution model of a direction network based on the BA scale-free network

Xiujuan Ma

Open publisher page 2 citations

Abstract

In this paper,based on the BA scale-free network,the author proposes a evolution model of a direction network which is scale-free and designs process for simulation.By analyzing the degree distribution of the direction network,the results show that the degree distribution of the complex direction network generated by the evolution model in this article meets the power-law distribution,which can effectively simulate real-world scale-free properties.We can analyze other topological properties of the complex direction network generated by the evolution model.

About this research paper

What this paper is about

In this paper,based on the BA scale-free network,the author proposes a evolution model of a direction network which is scale-free and designs process for simulation.By analyzing the degree distribution of the direction network,the results show that the degree distribution of the complex direction network generated by the evolution model in this article meets the power-law distribution,which can effectively simulate real-world scale-free properties.We can analyze other topological properties of the complex direction network generated by the evolution model.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper,based on the BA scale-free network,the author proposes a evolution model of a direction network which is scale-free and designs process for simulation.By analyzing the degree distribution of the direction network,the results show that the degree distribution of the complex direction network generated by the evolution model in this article meets the power-law distribution,which can effectively simulate real-world scale-free properties.We can analyze other topological properties of the complex direction network generated by the evolution model.

Key concepts: Scale-free network, Degree distribution, Preferential attachment, Scale (ratio), Degree (music), Network model, Complex network, Computer science

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