Potential Consequence of Interconnected Intervention against Systemic Risk (COVID-19) via a Model-Driven Network-Agent Dynamic

Table 3

Code example of the strategy dynamics (imitation).

for i in range (n):	# loop for every individual within the t loop
#-------------------------------------------------------
# imitation
#==========
R1 = np.random.random()	# randomly choose a certain (%) only 1 time
if R1 <= pr:	# conditional
ff = i	# focal individual (each node i)
while True:	# it is true
rr = np.random.choice (n)	# randomly choose role individual
if ff ! = rr:	# until focal choose a different role individual
break	# exit out of the loop
pi = 1/(1 + (np.exp (−s(B[rr,0]-B[ff,0]))))	# calculate (Fermi) function
R2 = np.random.random()	# randomly choose a certain (%) only 1 time
if R2 <= pi:	# conditional
temp[ff, 1:3] = B[rr,1:3]	# imitate the role individual
B [ : , 1 : 3] = temp [ : , 1 : 3]	# update strategy values