Research on the Structure Characterization Algorithm of the Complex Network Cluster

Liang Xun Shuo; Yi Ying Chen; Ze Xing Zhang

doi:10.4028/www.scientific.net/AMM.416-417.1220

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 416-417Research on the Structure Characterization...

Research on the Structure Characterization Algorithm of the Complex Network Cluster

Abstract:

Cluster network structure is one of the most common topological properties of complex networks and the most important topological attribute, and has the characteristics of the same cluster nodes connected to each other, and the sparse characteristics of the dense clusters interconnected with nodes. To reveal the complex network clustering method of network cluster structure has a very important theoretical significance for the analysis of complex network topology structure, to understand its function, discovering the behavior of the hidden patterns, prediction, and is widely used in social networks, biological networks and the world wide web. This article reviews the research background of the complex network clustering method, research significance, research status at home and abroad as well as the major problems currently facing this new research direction in an attempt to draw a comprehensive and clear outline, to provide a useful reference for researchers of the complex network, data mining, intelligent Web, Bioinformatics and other related fields.

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Periodical:

Applied Mechanics and Materials (Volumes 416-417)

Pages:

1220-1223

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.416-417.1220

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Online since:

September 2013

Authors:

Liang Xun Shuo, Yi Ying Chen, Ze Xing Zhang

Keywords:

Cluster Structure, Complex Network, Network Clustering

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References

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DOI: 10.1073/pnas.122653799

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