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Enhancing Network Performance By Edge Addition

Author

Listed:
  • ZHONGYUAN JIANG

    (Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China;
    Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing 100044, China)

  • MANGUI LIANG

    (Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China;
    Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing 100044, China)

  • DONGCHAO GUO

    (Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China;
    Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing 100044, China)

Abstract

Transmission efficiency and robustness are two important properties of various networks and a number of optimization strategies have been proposed recently. We propose a scheme to enhance the network performance by adding a small fraction of links (or edges) to the currently existing network topology, and we present four edge addition strategies for adding edges efficiently. We aim at minimizing the maximum node betweenness of any node in the network to improve its transmission efficiency, and a number of experiments on both Barabási–Albert (BA) and Erdös–Rényi (ER) networks have confirmed the effectiveness of our four edge addition strategies. Also, we evaluate the effect of some other measure metrics such as average path length, average betweenness, robustness, and degree distribution. Our work is very valuable and helpful for service providers to optimize their network performance by adding a small fraction of edges or to make good network planning on the existing network topology incrementally.

Suggested Citation

  • Zhongyuan Jiang & Mangui Liang & Dongchao Guo, 2011. "Enhancing Network Performance By Edge Addition," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 22(11), pages 1211-1226.
    • Handle: RePEc:wsi:ijmpcx:v:22:y:2011:i:11:n:s0129183111016841
    DOI: 10.1142/S0129183111016841
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    Cited by:

    1. Wandelt, Sebastian & Shi, Xing & Sun, Xiaoqian, 2021. "Estimation and improvement of transportation network robustness by exploiting communities," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    2. Jiang, Zhong-Yuan & Zeng, Yong & Liu, Zhi-Hong & Ma, Jian-Feng, 2019. "Identifying critical nodes’ group in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 121-132.
    3. Jun Ma & Qiang Yu & Huiyuan Wang & Linzhe Yang & Ruirui Wang & Minzhe Fang, 2022. "Construction and Optimization of Wetland Landscape Ecological Network in Dongying City, China," Land, MDPI, vol. 11(8), pages 1-22, August.
    4. Zhang, Junfeng & Ma, Jinlong & Li, Hui-Jia, 2022. "An efficient link closing strategy for improving traffic capacity on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    5. Jiang, Zhongyuan & Tang, Xiaoke & Zeng, Yong & Li, Jinku & Ma, Jianfeng, 2021. "Adversarial link deception against the link prediction in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 577(C).
    6. Vitor H. P. Louzada & Fabio Daolio & Hans J. Herrmann & Marco Tomassini, "undated". "Smart rewiring for network robustness," Working Papers ETH-RC-14-004, ETH Zurich, Chair of Systems Design.
    7. Shuang Song & Dawei Xu & Shanshan Hu & Mengxi Shi, 2021. "Ecological Network Optimization in Urban Central District Based on Complex Network Theory: A Case Study with the Urban Central District of Harbin," IJERPH, MDPI, vol. 18(4), pages 1-20, February.
    8. Safaei, F. & Yeganloo, H. & Akbar, R., 2020. "Robustness on topology reconfiguration of complex networks: An entropic approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 170(C), pages 379-409.
    9. 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.
    10. Wang, Shuliang & Lv, Wenzhuo & Zhang, Jianhua & Luan, Shengyang & Chen, Chen & Gu, Xifeng, 2021. "Method of power network critical nodes identification and robustness enhancement based on a cooperative framework," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    11. Das, Sai Saranga & Raman, Karthik, 2022. "Effect of dormant spare capacity on the attack tolerance of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).

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