Dynamics on Hybrid Complex Network: Botnet Modeling and Analysis of Medical IoT

Algorithm 1

Numerical simulation pseudocode.

	Initialization:
(1)	Network generation
(2)	Parameters initialization
	begin:
(1)	newState[]<- hisState[]
(2)	for: any node in N
(3)	if node state is susceptiblesample propagation method with α;
(4)	if local:
(5)	get neighbor nodes list from G and node state from hisState[];
(6)	for: any node in neighbor[]
(7)	if node state is infected, then:
(8)	infect node with ;
(9)	if count 1, update newState[];
(10)	else if global:
(11)	get Nϵ global nodes global[] from G and node state from hisState[];
(12)	for: any node in global[]
(13)	if node state is infected:
(14)	infect node with and update count of received messages;
(15)	if count T, update newState[];
(16)	else if node state is infected:
(17)	to recover with probability γ;
(18)	update newState[];
(19)	hisState[]<- newState[];
	calculate R, and refresh loop parameters.
(20)	end
	Output: final adoption size R