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| High-order Networks Robustness Analysis Based on Self-adaptive |
| YU Wenqian1,2, MA Fuxiang1, CHEN Yang1,2, MA Xiujuan1
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1. College of Computer, Qinghai Normal University, Xining 810016, China;
2. The State Key Laboratory of Tibetan Intelligent Information Processing and Application, Xining 810008, China |
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Abstract This paper considers the multivariate coupling relationship between nodes, combines high-order structures and actual load redistribution situations, proposes four self-adaptive load redistribution strategies, and analyzes the robustness of three types of synthetic higher-order networks, common networks (graphs), and real higher-order networks. Simulation experiments show that the scale of higher-order networks is positively correlated with their robustness. At the same time, different higher-order structures and self-adaptive load redistribution methods have different impacts on the robustness of higher-order networks. In addition, the self-adaptive load redistribution methods proposed in this paper are also applicable to common networks (graphs) and real higher-order networks.
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Received: 11 July 2023
Published: 10 December 2025
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