EoN.EBCM_uniform_introduction

EoN.EBCM_uniform_introduction(N, psi, psiPrime, tau, gamma, rho, tmin=0, tmax=100, tcount=1001, return_full_data=False)

Handles the case that the disease is introduced uniformly as opposed to depending on degree.

Arguments:

N positive integer

size of population

psi function

psihat(x) = sum_k S(k,0) x^k

psiPrime function

psihatPrime(x) = d psihat(x)/dx = sum_k k S(k,0) x^{k-1}

tau positive float

per edge transmission rate

gamma number

per node recovery rate

rho number

initial proportion infected

tmin number

start time

tmax number

stop time

tcount integer

number of distinct times to calculate

return_full_data boolean

if False,

return t, S, I, R

if True

return t, S, I, R, and theta

Returns:

if return_full_data == False:

returns t, S, I, R, all numpy arrays

if …== True

returns t, S, I, R and theta, all numpy arrays