EoN.estimate_SIR_prob_size_from_dir_perc¶
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EoN.
estimate_SIR_prob_size_from_dir_perc
(H)[source]¶ Estimates probability and size of SIR epidemics for an input network after directed percolation
From figure 6.17 of Kiss, Miller, & Simon. Please cite the book if using this algorithm
Arguments: - H directed graph
- The outcome of directed percolation on the contact network G
Returns: - PE, AR numbers
- Estimates of epidemic probability and attack rate found by finding largest strongly connected component and finding in/out components.
SAMPLE USE: import networkx as nx import EoN G = nx.fast_gnp_random_graph(1000,0.003) H = some_user_defined_operation_to_do_percolation(G, argument) PE, AR = EoN.estimate_SIR_prob_size_from_dir_perc(H)