Regulating clustering and assortativity affects node centrality in complex networks

Xing-Zhang Wen, Yue Zheng, Wen-Li Du and Zhuo-Ming Ren

Chaos, Solitons & Fractals, 2023, vol. 166, issue C

Abstract: The limitations of classical node centralities such as degree, closeness, betweenness and eigenvector are rooted in the network topology structure. For a deeper understanding, we regulate the basic network topology structure clustering and assortative coefficient to study the effect on these four classical node centralities. To observe the structural diversity of the complex network, we firstly construct two types of the growing scale-free networks with tunable clustering coefficient and assortative coefficient respectively, and simulate three types of null models on ten real networks to adjust cluster and assortativity. The results indicate that the impact of varying cluster and assortativity on node centrality in complex networks is obvious. We should pay more attention to the network topology when selecting node centralities as identifying the significance or influence of nodes in complex networks.

Keywords: Node centrality; Clustering coefficient; Assortative coefficient; Null model; Complex networks (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:166:y:2023:i:c:s0960077922010591

DOI: 10.1016/j.chaos.2022.112880

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