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Degree sequences beyond power laws in complex networks

  • Zhanying Zhang
  • , Wenjun Xiao*
  • , Guanrong Chen
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

Many complex networks possess vertex-degree distributions in a power-law form of ck−γ, where k is the degree variable and c and are con- stants. To better understand the mechanism of power-law formation in real- world networks, it is effective to analyze their degree variable sequences. We had shown before that, for a scale-free network of size N,if its vertex-degree sequence is k12 1, where {k1, k2,…,k1} is the set of all unequal vertex degrees in the network, and if its power exponent satisfies γ > 1, then the length l of the vertex-degree sequence is of order logN. In the present paper, we further study complex networks with more general distributions and prove that the same conclusion holds even for non-network type of complex systems. In addition, we support the conclusion by verifying many real-world network and system examples. We finally discuss some potential applications of the new finding in various fields of science, technology and society.
Original languageEnglish
Pages (from-to)1105-1113
JournalJournal of Applied Analysis and Computation
Volume6
Issue number4
DOIs
Publication statusPublished - 2016

Research Keywords

  • Degree variable sequence
  • General distribution
  • Network
  • Power-law distribution

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