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.
SIAM review 51(4), 661–703 (2009)
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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.