ScholarLens Back to search
2005•Unpublished venueRequires access

Group Growing Based Small-World Scale-Free Network Model

Wu Ai

Open publisher page 2 citations

Abstract

Recent work has shown that small-world and scale-free are both the important characters of many large scale cotnplex networks. Building network models with these characters is essential to study the topology and behavior of networks. Based on the study of existed network models, a GGSS(Group Growing based Small-world Scale-free) network model is presented. Strong local connectivity and network evolving by group and the preferential attachment rule are combined in this model. Networks generated using this model have small-world and scale-free simultaneous- ly. Simulation is done to verify the correctness of GGSS model.

About this research paper

What this paper is about

Recent work has shown that small-world and scale-free are both the important characters of many large scale cotnplex networks. Building network models with these characters is essential to study the topology and behavior of networks. Based on the study of existed network models, a GGSS(Group Growing based Small-world Scale-free) network model is presented. Strong local connectivity and network evolving by group and the preferential attachment rule are combined in this model. Networks generated using this model have small-world and scale-free simultaneous- ly. Simulation is done to verify the correctness of GGSS model.

Why it matters

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

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

Recent work has shown that small-world and scale-free are both the important characters of many large scale cotnplex networks. Building network models with these characters is essential to study the topology and behavior of networks. Based on the study of existed network models, a GGSS(Group Growing based Small-world Scale-free) network model is presented. Strong local connectivity and network evolving by group and the preferential attachment rule are combined in this model. Networks generated using this model have small-world and scale-free simultaneous- ly. Simulation is done to verify the correctness of GGSS model.

Key concepts: Computer science, Small-world network, Scale-free network, Correctness, Scale (ratio), Network model, Group (periodic table), Network formation

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Group Growing Based Small-World Scale-Free Network Model — Research Paper | ScholarLens