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.
IEEE Transactions on Information theory 37(1), 145–151 (1991) 20 Appendix A Fitting Performance of Models Fig
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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.