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Information transport in multiplex networks

Author

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  • Pu, Cunlai
  • Li, Siyuan
  • Yang, Xianxia
  • Yang, Jian
  • Wang, Kai

Abstract

In this paper, we study information transport in multiplex networks comprised of two coupled subnetworks. The upper subnetwork, called the logical layer, employs the shortest paths protocol to determine the logical paths for packets transmission, while the lower subnetwork acts as the physical layer, in which packets are delivered by the biased random walk mechanism characterized with a parameter α. Through simulation, we obtain the optimal α corresponding to the maximum network lifetime and the maximum number of the arrival packets. Assortative coupling is better than random coupling and disassortative coupling, since it achieves better transmission performance. Generally, the more homogeneous the lower subnetwork is, the better the transmission performance, which is the opposite for the upper subnetwork. Finally, we propose an attack centrality for nodes based on the topological information of both subnetworks, and investigate the transmission performance under targeted attacks. Our work aids in understanding the spread and robustness issues of multiplex networks and provides some clues about the design of more efficient and robust routing architectures in communication systems.

Suggested Citation

  • Pu, Cunlai & Li, Siyuan & Yang, Xianxia & Yang, Jian & Wang, Kai, 2016. "Information transport in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 261-269.
    • Handle: RePEc:eee:phsmap:v:447:y:2016:i:c:p:261-269
    DOI: 10.1016/j.physa.2015.12.057
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    References listed on IDEAS

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    1. Dorogovtsev, S. N. & Mendes, J.F.F., 2013. "Evolution of Networks: From Biological Nets to the Internet and WWW," OUP Catalogue, Oxford University Press, number 9780199686711.
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    Cited by:

    1. Hongli Zhou & Mingxuan Yang, 2023. "Towards Evaluating the Robustness of the Open-Source Product Community under Multiple Attack Strategies," Sustainability, MDPI, vol. 15(17), pages 1-19, August.
    2. Kazawa, Yui & Tsugawa, Sho, 2020. "Effectiveness of link-addition strategies for improving the robustness of both multiplex and interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    3. Zhou, Hongli & Zhang, Xiaodong & Hu, Yang, 2020. "Robustness of open source product innovation community’s knowledge collaboration network under the dynamic environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    4. Prokudin Georgii & Chupaylenko Alexey & Lebid Viktoriia & Khobotnia Tetiana, 2020. "Development of methods to increase the efficiency of road transportation by international transport corridors," Technology audit and production reserves, Socionet;Technology audit and production reserves, vol. 4(4(54)), pages 34-36.

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