Dynamics of corruption on correlated multiplex networks with overlap

Dan Lu and L.M. Floría

Chaos, Solitons & Fractals, 2023, vol. 171, issue C

Abstract: To get further insight into the mechanism behind driving the social behaviors for a compartmental flow model of corruption on multiplex networks, we apply the model to the duplex networks, where different flows among three states (Honest, Corrupt, Ostracism) take place separately on a particular layer. In our work, we aim to unravel the impact of edge overlap and interlayer degree correlations on the evolution of corruption by considering different underlying contact networks. To assess the role of the edge overlap (m) on the diffusion of corruption, we produce various values of m by rewiring the edges of one of two synthetic networks. In addition, to explore the significance of interlayer degree correlations, we generate the duplex networks with specific degree correlated patterns giving rise to different values of m. The results show that the influence of the structural properties becomes gradually prominent as the corruption and delation rate decrease. The smaller m produced by rewiring the biased edges makes the extension of the stability region of full honesty state though not clearly noticeable. However, the larger m determined by the degree correlation patterns is prone to the presence of the stability region of the full H state. The findings reveal that edge overlap caused by rewiring links barely has an effect on the evolution regardless of duplex networks being uncorrelated or correlated. Nevertheless, the interlayer correlated coupling plays a major role in the stationary states of the corruption dynamics.

Keywords: Multiplex networks; Edge overlap; Degree correlations; Social dynamics (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:171:y:2023:i:c:s0960077923003338

DOI: 10.1016/j.chaos.2023.113432

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