This paper begins to build a theoretical framework that would enable the pharmaceutical industry to use network complexity measures as a way to identify drug targets. The variability of a betweenness measure for a network node is examined through different methods of network perturbation. Our results indicate a robustness of betweenness centrality in the identification of target genes.

Original languageEnglish
Pages (from-to)3655-3673
Number of pages19
JournalBulletin of Mathematical Biology
Issue number9
StatePublished - Sep 15 2019


  • Betweenness centrality
  • Differential expression
  • Network complexity measure


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