A mean-field method using local Fokker-Planck equations computes stationary states and maps phase diagrams for Lotka-Volterra dynamics on sparse asymmetric graphs.
Pair quenched mean-field theory for the susceptible- infected-susceptible model on complex networks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2025 2verdicts
UNVERDICTED 2representative citing papers
Dynamic state expansion with infection memory improves pair approximation accuracy for SIS epidemic threshold and quasi-stationary distribution on arbitrary networks.
citing papers explorer
-
Local equations for the generalized Lotka-Volterra model on sparse asymmetric graphs
A mean-field method using local Fokker-Planck equations computes stationary states and maps phase diagrams for Lotka-Volterra dynamics on sparse asymmetric graphs.
-
Threshold and quasi-stationary distribution for the SIS model on networks
Dynamic state expansion with infection memory improves pair approximation accuracy for SIS epidemic threshold and quasi-stationary distribution on arbitrary networks.