A network generation model combining exponential probabilistic growth with vari-linear preferential attachment fits empirical degree distributions more accurately than traditional linear models and unifies several classical network properties.
Journal of Statistical Mechanics: Theory Experiment 2017(9), 093402 (2017)
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Universal Network Generation Model via Exponential Probabilistic Growth and Vari-linear Preferential Attachment
A network generation model combining exponential probabilistic growth with vari-linear preferential attachment fits empirical degree distributions more accurately than traditional linear models and unifies several classical network properties.