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An universal algorithm for source location in complex networks

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  • Wang, Hongjue

Abstract

We study locating propagation source in complex networks. We proposed an universal algorithm, which can accurately locate source of different propagation dynamics by using sparse observations. Without knowing the propagation dynamics and any parameters, we calculate Spearman centrality based on the character that positive correlation between inform time of nodes and geodesic distance between nodes and source. The algorithm have high location accuracy with low time complexity and can accurately infer initial time of source. All simulations on both model and real-world networks proved the feasibility and validity of this algorithm.

Suggested Citation

  • Wang, Hongjue, 2019. "An universal algorithm for source location in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 620-630.
  • Handle: RePEc:eee:phsmap:v:514:y:2019:i:c:p:620-630
    DOI: 10.1016/j.physa.2018.09.114
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    References listed on IDEAS

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    1. Zhesi Shen & Wen-Xu Wang & Ying Fan & Zengru Di & Ying-Cheng Lai, 2014. "Reconstructing propagation networks with natural diversity and identifying hidden sources," Nature Communications, Nature, vol. 5(1), pages 1-10, September.
    2. Hauke Jan & Kossowski Tomasz, 2011. "Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data," Quaestiones Geographicae, Sciendo, vol. 30(2), pages 87-93, June.
    3. Jinlong Ma & Weizhan Han & Qing Guo & Zhenyong Wang & Shuai Zhang, 2016. "A link-adding strategy for transport efficiency of complex networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(05), pages 1-12, May.
    4. Ma, Ying-Hong & Li, Hui-Jia & Zhang, Xiao-Dong, 2009. "Strength distribution of novel local-world networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(21), pages 4669-4677.
    5. Cui, Yaozu & Wang, Xingyuan & Li, Junqiu, 2014. "Detecting overlapping communities in networks using the maximal sub-graph and the clustering coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 85-91.
    6. Tao Zhou & Linyuan Lü & Yi-Cheng Zhang, 2009. "Predicting missing links via local information," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 623-630, October.
    7. Wang, Xingyuan & Li, Junqiu, 2013. "Detecting communities by the core-vertex and intimate degree in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(10), pages 2555-2563.
    8. Shuai Zhang & Man-Gui Liang & Zhong-Yuan Jiang & Hui-Jia Li, 2015. "Improved efficient static weighted routing strategy on two-layer complex networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 26(01), pages 1-13.
    9. 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.
    10. Tao Wang & Hongjue Wang & Xiaoxia Wang, 2016. "CD-Based Indices for Link Prediction in Complex Network," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-13, January.
    11. Li, Junqiu & Wang, Xingyuan & Eustace, Justine, 2013. "Detecting overlapping communities by seed community in weighted complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 6125-6134.
    12. Wang, Xingyuan & Zhao, Tianfang & Qin, Xiaomeng, 2016. "Model of epidemic control based on quarantine and message delivery," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 168-178.
    13. Jinlong Ma & Weizhan Han & Qing Guo & Shuai Zhang, 2016. "Enhancing traffic capacity of scale-free networks by link-directed strategy," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(03), pages 1-12, March.
    14. Li, Dongyan & Wang, Xingyuan & Huang, Penghe, 2017. "A fractal growth model: Exploring the connection pattern of hubs in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 200-211.
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