Non-Markovian node fragility in cascading failures on random networks

Zhu, Yanpeng; Chen, Lei; Jia, Chun-Xiao; Meng, Fanyuan; Liu, Run-Ran

doi:10.1016/j.physa.2023.129288

Physica A: Statistical Mechanics and its Applications

2023

DOI: 10.1016/j.physa.2023.129288

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Non-Markovian node fragility in cascading failures on random networks

Yanpeng Zhu,

Lei Chen,

Chun-Xiao Jia

et al.

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2024

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Cited by 2 publications

References 33 publications

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A multi-node attack scheme based on community partitioning in large scale infrastructure networks

Li,

2024

Computer Networks

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A multi-node attack scheme based on community partitioning in large scale infrastructure networks

Li,

2024

Computer Networks

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Group consensus under asymmetric voting behavior

Yu,

Xu,

Wen

et al. 2024

EPL

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In this study, we propose a group formation model by assuming voters hold asymmetric irrationality, namely the probability of accepting a candidate with whom they disagree with. Moreover, we utilize a non-Markovian function by introducing a rationality decay rate to represent that agents' rationality decays as their contributed admissions on the candidate increase. We have systematically explored the impact of non-Markovian asymmetric irrationality, voter selection mechanisms, voter number, and group size on the degree of consensus. Our findings indicate that, with only one voter, as the group size increases, the degree of consensus converges to a value determined by the irrationality ratio. Remarkably, even in scenarios with significant asymmetry in irrationality, a substantial degree of consensus can still be maintained. Furthermore, for multiple voters, the relationship between the degree of group consensus and rationality decay rate exhibits non-monotonic behaviors. In summary, this research offers new theoretical insights into group dynamics and provides implications for enhancing consensus in real-world social groups.

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Non-Markovian node fragility in cascading failures on random networks

Cited by 2 publications

References 33 publications

A multi-node attack scheme based on community partitioning in large scale infrastructure networks

A multi-node attack scheme based on community partitioning in large scale infrastructure networks

Group consensus under asymmetric voting behavior

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