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| Robustness of Edge-dependent Weighted Networks Based on Load Redistribution |
| GAO Yanli, CHEN Guangming, CHEN Shiming
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| College of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China |
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Abstract For real networks where the attribute length of connected edges affects the load capacity of edge-dependent networks, this paper proposes a load capacity-weighted model considering the length of connected edges to analyze the cascading failure process of edge-dependent networks in ER-ER, BA-BA, heterogeneous ER-BA networks and power-information-dependent networks. The effects of different load allocation strategies, network structures, different capacity factors and different attacks on the robustness of edge-dependent weighted networks are investigated when the networks fail at the edges. The results show that, the dynamic residual capacity load allocation strategy proposed in this paper can improve the robustness of the network; Increasing the capacity factor in the corresponding range significantly improves the robustness of the network; BA-BA networks are least able to resist large-scale random failures; Compared to typical networks, edge-based deliberate attacks are more destructive in power-information dependent networks.
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Received: 02 March 2024
Published: 19 May 2026
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