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.
CITATION STYLE
Campbell, C., Shea, K., & Albert, R. (2014, October 31). Comment on “control profiles of complex networks.” Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.1256492
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