2014
DOI: 10.1007/978-3-319-10046-3_5
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Evaluation of the Copycat Model for Predicting Complex Network Growth

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(1 citation statement)
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“…In this work, we propose a measure for network robustness based on the Jensen-Shannon divergence, an Information Theory quantifier that already showed to be very effective in measuring small topological changes in a network (Carpi et al, 2011;Schieber and Ravetti, 2013;Schieber et al, 2014). This method considers failures occurring in a temporal sequence capturing, in some sense, the dynamics of the role of the remaining links after each single failure.…”
Section: Introductionmentioning
confidence: 99%
“…In this work, we propose a measure for network robustness based on the Jensen-Shannon divergence, an Information Theory quantifier that already showed to be very effective in measuring small topological changes in a network (Carpi et al, 2011;Schieber and Ravetti, 2013;Schieber et al, 2014). This method considers failures occurring in a temporal sequence capturing, in some sense, the dynamics of the role of the remaining links after each single failure.…”
Section: Introductionmentioning
confidence: 99%