The effect of generalized deactivation mechanism in weighted networks

Liang Tian, Da-Ning Shi*, Chen-Ping Zhu

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

4 Citations (Scopus)


In this paper, we propose a generalized deactivation model to characterize weighted networks. By introducing the special aging mechanism, the model can produce power-law distributions of degree, strength, and weight, as confirmed in many real networks. We also characterize the clustering and correlation properties of this class of networks. A scaling behavior of clustering coefficient C ∼ 1 / M is observed, where M refers to the number of active nodes. The generated network simultaneously exhibits hierarchical organization and disassortative degree correlation. All of these structural properties are confirmed by present empirical evidence.

Original languageEnglish
Pages (from-to)611-620
Number of pages10
JournalPhysica A: Statistical Mechanics and its Applications
Early online date12 Mar 2007
Publication statusPublished - Jul 2007

Scopus Subject Areas

  • Statistics and Probability
  • Condensed Matter Physics

User-Defined Keywords

  • Aging
  • Complex network
  • Generalized deactivation model
  • Weighted network


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