Emergence of the small-world architecture in neural networks by activity dependent growth for the in-
degree node distribution. In terms of the graphs theory, this study developed a new model
Emergence of the small-world architecture in neural networks by activity dependent growth for the in-
degree node distribution. In terms of the graphs theory, this study developed a new model
Network Evolution Model with Preferential Attachment at Triadic Formation Step degree with respect to the sum of the
degrees of the neighbors of the first selected
node. The main goal
Исследование многорежимной сети массового обслуживания с абстрактным описанием состояний strategies is investigated. Every
node can operate in several regimes answering different
degrees Emergence of nonlinear crossover under epidemic dynamics in heterogeneous networks initial state in networks with scale-free
degree distributions, we demonstrate analytically
Statistical Model of Graph Structure Based on “VKontakte" Social Network of the “VKontakte" social network between the cities of Russia. It turned out that the graph
node degree