Networks/DecisionBased.m at master · kevshi/Networks · GitHub

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function[NewInfected] = DecisionBased(s1, s2, s3, Adj, q)

OldInfected = DecBased3(s1, s2, s3, Adj, q);
NewInfected = zeros(1, length(Adj));

while isequal(NewInfected, OldInfected) ~= 1
    for i = 1:length(Adj)
        if OldInfected(i) == 1
           CurrentInfected = DecBased1(i, Adj, q);
           NewInfected = NewInfected | CurrentInfected;
        end
    end

    if OldInfected == NewInfected
        break
    else
        OldInfected = NewInfected;
        NewInfected = zeros(1, length(Adj));
    end

end
end

function[InfectedSet] = DecBased3(s1, s2, s3, Adj, q)

A = zeros(1, length(Adj));
A(s1) = 1;
A(s2) = 1;
A(s3) = 1;

for i = 1:length(Adj)
	if (Adj(i, s1) == 1 | Adj(i, s2) == 1 | Adj(i, s3) == 1)
    	A(i) = 1; %A is an index of the neighbors of infected nodes
    end
end

InfectedSet = zeros(1, length(Adj));
InfectedSet(s1) = 1;
InfectedSet(s2) = 1;
InfectedSet(s3) = 1;

InfectedBase = zeros(1, length(Adj));
InfectedBase(s1) = 1;
InfectedBase(s2) = 1;
InfectedBase(s3) = 1;

for i = 1:length(Adj)
    if A(i) == 1 & (i ~= s1 | i ~= s2 | i ~= s3)
       count = sum(InfectedBase & Adj(i, :));
       Deg = sum(Adj(i, :)); %finds degree of neighbor of s
       if q < count / Deg %applies decision based formula
          InfectedSet(i) = 1; %infects the node if requirements are met
       end
    end
end

end

function[InfectedSet] = DecBased1(s1, Adj, q)

A = zeros(1, length(Adj));
A(s1) = 1;

for i = 1:length(Adj)

	if Adj(i, s1) == 1
        A(i) = 1; %A is an index of the neighbors of infected nodes
    end
end

InfectedSet = zeros(1, length(Adj));
InfectedSet(s1) = 1;

InfectedBase = zeros(1, length(Adj));
InfectedBase(s1) = 1;

for i = 1:length(Adj)

    if A(i) == 1 & i ~= s1
       count = sum(InfectedBase & Adj(i, :));
       Deg = sum(Adj(i, :)); %finds degree of neighbor of s

       if q < count / Deg %applies decision based formula
          InfectedSet(i) = 1; %infects the node if requirements are met
       end
    end
end

end