Abstract

Ruths and Ruths (Reports, 21 March 2014, p. 1373) find that existing synthetic random network models fail to generate control profiles that match those found in real network models. Here, we show that a straightforward extension to the Barabási-Albert model allows the control profile to be "tuned" across the control profile space, permitting more meaningful control profile analyses of real networks.

Original languageEnglish (US)
Pages (from-to)561c
JournalScience
Volume346
Issue number6209
DOIs
StatePublished - Oct 31 2014

All Science Journal Classification (ASJC) codes

  • General

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