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Volumn 82, Issue 3, 2010, Pages

Reciprocal relation between the fractal and the small-world properties of complex networks

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTERISTIC LENGTH; COMPLEX NETWORKS; CROSSOVER BEHAVIOR; FRACTALITY; LENGTH SCALE; PERCOLATION TRANSITION; RECIPROCAL RELATIONS; SMALL WORLDS;

EID: 78651253818     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.82.036113     Document Type: Article
Times cited : (35)

References (44)
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    • Center for Complex Network Research (CCNR)
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    • We should note that the network data set for the PIN of H. sapiens is different from that used in Ref.. Therefore, the fractal dimension of this network differs from that reported in Ref..
    • We should note that the network data set for the PIN of H. sapiens is different from that used in Ref.. Therefore, the fractal dimension of this network differs from that reported in Ref..
  • 33
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    • Although we first cover high degree hubs for reducing the computing time, the fractal property obtained by this method characterizes the entire structure of the network without removing hubs.
    • Although we first cover high degree hubs for reducing the computing time, the fractal property obtained by this method characterizes the entire structure of the network without removing hubs.
  • 34
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    • The SHM model has actually four parameter, m, n, a, and g. Meanings of these parameters are the ratio of the number of nodes in the renormalized graph to that in the prerenormalized one (m), the ratio of the degree of the renormalized node to that of the prerenormalized node (n), the ratio of the diameter of the renormalized network to that of the prerenormalized network (a), and the generation (g). We choose m=2, n=6, a=2, and g=6 for Figs. and m=2, n=6, a=2, and g=7 for Fig. .
    • The SHM model has actually four parameter, m, n, a, and g. Meanings of these parameters are the ratio of the number of nodes in the renormalized graph to that in the prerenormalized one (m), the ratio of the degree of the renormalized node to that of the prerenormalized node (n), the ratio of the diameter of the renormalized network to that of the prerenormalized network (a), and the generation (g). We choose m = 2, n = 6, a = 2, and g = 6 for Figs. and m = 2, n = 6, a = 2, and g = 7 for Fig..


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