A subgraph-extraction method combining degree-based node removal with average-degree-matching edge pruning preserves SIR spreading dynamics and information flow in heterogeneous networks at over 85% size reduction.
Reaction–diffusion processes and metapopulation models in heterogeneous networks
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Preserving spreading dynamics and information flow in complex network reduction
A subgraph-extraction method combining degree-based node removal with average-degree-matching edge pruning preserves SIR spreading dynamics and information flow in heterogeneous networks at over 85% size reduction.