EoN.EBCM_pref_mix_discrete_from_graph

EoN.EBCM_pref_mix_discrete_from_graph(G, p, rho=None, tmin=0, tmax=100, return_full_data=False)

Takes a given graph, finds degree correlations, and calls EBCM_pref_mix_discrete

SAMPLE USE:

import networkx as nx
import EoN
import matplotlib.pyplot as plt
G = nx.bipartite.configuration_model([5]*300000, [2]*750000)
t, S, I, R = EoN.basic_discrete_SIR(G, 0.6, rho = 0.002)
tx, Sx, Ix, Rx = EoN.EBCM_pref_mix_discrete_from_graph(G, 0.6, rho=0.002, tmax=t[-1])
plt.plot(t, I, label = 'simulation')
plt.plot(tx, Ix, '--', label = 'analytic prediction')
plt.legend(loc='upper right')
plt.show()