ScholarLens Back to search
2010•Journal of Xi'an University of Science and TechnologyRequires access

Comparison of centrality measures in complex networks

Lidong Fu

Open publisher page 0 citations

Abstract

Centrality analysis is a valuable method for the structural analysis of complex networks.It is used to identify key elements within networks and to rank network elements.To support this analysis five centrality measures are discussed and their applicability is demonstrated on two example networks.The application of these measures shows that some measures correlate strongly in one network and weakly in another.As a result,several measures should be considered for the analysis of complex networks.

About this research paper

What this paper is about

Centrality analysis is a valuable method for the structural analysis of complex networks.It is used to identify key elements within networks and to rank network elements.To support this analysis five centrality measures are discussed and their applicability is demonstrated on two example networks.The application of these measures shows that some measures correlate strongly in one network and weakly in another.As a result,several measures should be considered for the analysis of complex networks.

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

Centrality analysis is a valuable method for the structural analysis of complex networks.It is used to identify key elements within networks and to rank network elements.To support this analysis five centrality measures are discussed and their applicability is demonstrated on two example networks.The application of these measures shows that some measures correlate strongly in one network and weakly in another.As a result,several measures should be considered for the analysis of complex networks.

Key concepts: Centrality, Network analysis, Complex network, Key (lock), Computer science, Rank (graph theory), Network theory, Network science

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Comparison of centrality measures in complex networks — Research Paper | ScholarLens