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Complex networks evolution research using the network structure entropy

  • Peng Luo*
  • , Yong Li Li
  • , Chong Wu
  • *Corresponding author for this work
  • School of Management, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Different types of network evolution have different characteristics. To study the characteristics of the different network evolution, we try to take advantage of the network structure entropy as network evolution indicators. We also choose the three typical network including the scale-free network, the random network, the star network and construct a network model similar to the real social network. In addition, in order to avoid the inaccurate of the network structure entropy definition, we also choose three different definitions of the network structure entropy to study the network evolution trend. Finally we get the conclusion that the network structure entropy of different types of networks in the evolution process is different. We can also use the growth rate of the network structure entropy as the indicator of the network evolution. The growth rate is big in the early network evolution. As the network size increases, the network structure is more stable and the growth rate decreases.

Original languageEnglish
Pages (from-to)62-68
Number of pages7
JournalComplex Systems and Complexity Science
Volume10
Issue number4
StatePublished - Dec 2013
Externally publishedYes

Keywords

  • Comparative study
  • Complex network
  • Evolution law
  • Network evolution
  • Network structure entropy

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