Measuring the vulnerability of community structure in complex networks

Daijun Wei, Xiaoge Zhang and Sankaran Mahadevan

Reliability Engineering and System Safety, 2018, vol. 174, issue C, 41-52

Abstract: This paper develops a quantitative method to measure the vulnerability of community structure with emphasis on both internal and external connectivity characteristics of the community. In particular, the number of links between communities and the strength of links connecting two communities are considered as external factors, while the connection density, the degree of gateway nodes, as well as the strength of links within each community are treated as internal factors. A non-linear weighted function is used to combine the internal factors with external factors. Then the developed method is used to illustrate the vulnerability analysis of community structure of a power transmission grid, a karate club network, and an air transportation network. The results reveal that the proposed measure is effective in differentiating the vulnerability level of community structure in a variety of networks.

Keywords: Complex networks; Community; Vulnerability; Connectivity (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:174:y:2018:i:c:p:41-52

DOI: 10.1016/j.ress.2018.02.001

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