EoN.SIS_effective_degree¶
-
EoN.SIS_effective_degree(Ssi0, Isi0, tau, gamma, tmin=0, tmax=100, tcount=1001, return_full_data=False)[source]¶ - Encodes system (5.36) of Kiss, Miller, & Simon. Please cite the
book if using this algorithm.
Arguments: - Ssi0 and Isi0 : (square) numpy 2D arrays of same shape.
Entries are initial number susceptible or infected with given initial number of susceptible/infected neighbors.
- tau positive float
- transmission rate
- gamma number
- recovery rate
- tmin number (default 0)
- minimum report time
- tmax number (default 100)
- maximum report time
- tcount integer (default 1001)
- number of reports
- return_full_data boolean (default False)
tells whether to just return times, S, I, R or all calculated data. if True,
return times, S, I, Ssi, Isi- if False,
- return times, S, I
Returns: - if return_full_data:
return times, S, I, Ssi, Isi
- else:
return times, S, I