Chinese Physics B, Volume. 29, Issue 8, (2020)

Influential nodes identification in complex networks based on global and local information

Yuan-Zhi Yang1, Min Hu2、†, and Tai-Yu Huang3
Author Affiliations
  • 1Air Force Engineering University, Xi’an 70038, China
  • 2China Petroleum Planning and Engineering Institute, Beijing 100083, China
  • 3Sichuan University of Arts and Science, Dazhou 65000, China
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    Figures & Tables(7)
    A simple example graph to explain the identifying process of k-shell decomposition and improved k-shell decomposition.
    Frequencies of nodes with the same ranking in four networks.
    Average spreading ability of top-10 nodes ranked by each method in four networks.
    Kendall’s tau coefficients from different methods and actual ranking γ that is simulated by SI model at t = 20 with 1000 independent runs.
    • Table 1. The improved k-shell decomposition in Fig. 1.

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      Table 1. The improved k-shell decomposition in Fig. 1.

      The number of iterationsRemoved nodesksIks
      1112
      2213
      33, 4, 10, 1125
      4926
      55, 6, 7, 838
    • Table 2. Comparisons among top-10 lists generated by different methods in four networks. Actual spreading ability ranking I = sort(I1,I2,…,In) is obtained by SI model with 1000 independent simulations.

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      Table 2. Comparisons among top-10 lists generated by different methods in four networks. Actual spreading ability ranking I = sort(I1,I2,…,In) is obtained by SI model with 1000 independent simulations.

      USAir97Email
      RankDCCCBCKsGLIIRankDCCCBCKsGLII
      1118118118671181181105333333299105333
      2261261894261261233323105389333105
      325567261109255147316105234344242
      4152255201112182166423425785522341
      5182201471181526754241765717654
      623018218213123047641762337264152
      7166472551461661827196233135756233233
      867166152147671528233524178833
      91122483131501122559211353558855276
      102011121315214711210763784288637823
    • Table 3. Monotonicity indices of different methods in four networks.

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      Table 3. Monotonicity indices of different methods in four networks.

      NetworkM(DC)M(CC)M(BC)M(Ks)M(GLI)
      Karate club0.70790.89930.77230.49580.9542
      Jazz musicians0.96590.98780.98850.79440.9994
      USAir970.85860.98920.69680.81140.9951
      Email0.88740.99880.93990.80880.9999
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    Yuan-Zhi Yang, Min Hu, Tai-Yu Huang. Influential nodes identification in complex networks based on global and local information[J]. Chinese Physics B, 2020, 29(8):

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    Paper Information

    Received: Apr. 23, 2020

    Accepted: --

    Published Online: Apr. 29, 2021

    The Author Email: Hu Min (1097762865@qq.com)

    DOI:10.1088/1674-1056/ab969f

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