Abstract

In this paper, we revisit the fractality of complex network by investigating three dimensions with respect to minimum box-covering, minimum ball-covering and average volume of balls. The first two dimensions are calculated through the minimum box-covering problem and minimum ball-covering problem. For minimum ball-covering problem, we prove its NP-completeness and propose several heuristic algorithms on its feasible solution, and we also compare the performance of these algorithms. For the third dimension, we introduce the random ball-volume algorithm. We introduce the notion of Ahlfors regularity of networks and prove that above three dimensions are the same if networks are Ahlfors regular. We also provide a class of networks satisfying Ahlfors regularity.

Highlights

  • In this paper, we revisit the fractality of complex network by investigating three dimensions dB5, dball[6] and df[7] with respect to minimum box-covering, minimum ball-covering and average volume of balls

  • #V /N l ∼ ldB and #V /Bl ∼ l, dball where dB is the fractal dimension defined by Song, Havlin and Makse[5], and dball is defined by Gao, Hu and Di6

  • Given a function f : V →, suppose we sort nodes according to values of f in nondecreasing order: If f is the degree function, we can obtain degree-order ball-covering algorithm (DOBC); If f (x) = #B(x, l) and, we obtain volume-order ball-covering algorithm (VOBC)

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Summary

OPEN On the Fractality of Complex

Networks: Covering Problem, Algorithms and Ahlfors Regularity received: 22 August 2016 accepted: 20 December 2016. We revisit the fractality of complex network by investigating three dimensions with respect to minimum box-covering, minimum ball-covering and average volume of balls. We revisit the fractality of complex network by investigating three dimensions dB5, dball[6] and df[7] with respect to minimum box-covering, minimum ball-covering and average volume of balls. The compact box burning algorithm (CBB)[8,9] and random ball-covering algorithm[6] are proposed to calculate dB and dball respectively. The minimum box-covering problem and minimum ball-covering problem are NP-complete, which are proved rigorously in Theorem 1 and Proposition 2 respectively. For Ahlfors regular networks, the random ball-volume algorithm is efficient to obtain the above three fractal dimensions

Fractal dimensions and covering problems
Ahlfors regularity of networks
Algorithm dball
Ahlfors regular trees
We have the following
Suppose there is a minimum
We also have
That means
We also
Conclusion
Author Contributions
Additional Information
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