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Efficient edge rewiring strategies for enhancement in network capacity

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  • Kumari, Suchi
  • Saroha, Abhishek
  • Singh, Anurag

Abstract

The structure of the network has great impact on its traffic dynamics. Most of the real world networks follow heterogeneous structure and exhibit scale-free feature. In scale-free network, a new node prefer to connect with hub nodes and the network capacity is curtailed by smaller degree nodes. Therefore, we propose rewiring a fraction of links in the network, to improve the network transport efficiency. In this paper, we discuss some efficient link rewiring strategies and perform simulations on scale-free networks, confirming the effectiveness of these strategies. The rewiring strategies actually reduce the centrality of the nodes having higher betweenness centrality. After the link rewiring process, the degree distribution of the network remains the same. This work will be beneficial for the enhancement of network performance.

Suggested Citation

  • Kumari, Suchi & Saroha, Abhishek & Singh, Anurag, 2020. "Efficient edge rewiring strategies for enhancement in network capacity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    • Handle: RePEc:eee:phsmap:v:545:y:2020:i:c:s037843711931979x
    DOI: 10.1016/j.physa.2019.123552
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    References listed on IDEAS

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    1. Chen, Zhenhao & Wu, Jiajing & Rong, Zhihai & Tse, Chi K., 2018. "Optimal topologies for maximizing network transmission capacity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 191-201.
    2. Ma, Jinlong & Han, Weizhan & Guo, Qing & Wang, Zhenyong, 2016. "Traffic dynamics on two-layer complex networks with limited delivering capacity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 281-287.
    3. Gupta, Naveen & Singh, Anurag & Cherifi, Hocine, 2016. "Centrality measures for networks with community structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 46-59.
    4. Jiang, Zhong-Yuan & Liang, Man-Gui & An, Wen-Juan, 2014. "Effects of efficient edge rewiring strategies on network transport efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 379-385.
    5. Jiang, Zhong-Yuan & Liang, Man-Gui & Li, Qian & Guo, Dong-Chao, 2013. "Optimal dynamic bandwidth allocation for complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(5), pages 1256-1262.
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    Citations

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    Cited by:

    1. Wu, Rui-Jie & Kong, Yi-Xiu & Di, Zengru & Zhang, Yi-Cheng & Shi, Gui-Yuan, 2022. "Analytical solution to the k-core pruning process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    2. Ma, Jinlong & Kong, Lingkang & Li, Hui-Jia, 2023. "An effective edge-adding strategy for enhancing network traffic capacity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    3. Zhang, Bowen & Xia, Yongxiang & Liang, Yuanyuan, 2023. "Effect of transfer costs on traffic dynamics of multimodal transportation networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    4. Kumar, Rajesh & Kumari, Suchi & Mishra, Anubhav, 2023. "Robustness of multilayer networks: A graph energy perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).

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