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- W4313185968 abstract "Many complex systems in real life are made up of several subsystems that evolve through time. Multiplex growth network models, in which edges reflect different types between the same vertex set, can be used to represent such systems. Here we put forward a new multiplex growth network model based on nonlinear preferential attachment rule. Firstly, we derive the general joint degree distribution expression of the model via the rate equation approach at the steady-state. Secondly, by using the Z-transform theory, we obtain the joint degree distribution of the model corresponding to the weight function $$f(k)=k$$ and $$f(k)=c>0$$ . Finally, we apply Monte Carlo simulation to check the correctness of the theoretical analysis, the research shows that the theoretical results are corroborated with Monte Carlo simulations." @default.
- W4313185968 created "2023-01-06" @default.
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- W4313185968 date "2022-01-01" @default.
- W4313185968 modified "2023-10-16" @default.
- W4313185968 title "Joint Degree Distribution of Growing Multiplex Network Model with Nonlinear Preferential Attachment Rule" @default.
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- W4313185968 doi "https://doi.org/10.1007/978-981-19-8152-4_2" @default.
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