📄 get_assortative_coefficient.m
字号:
function r=get_assortative_coefficient(Nodes)
%get assortative coefficient,see Ref[Newman,Mixing patterns in networks]
%Input:Nodes--N*N adjacent matrix,Nodes(i,j)=1;i is outdegree,j is indegree
%Output:r--assortative coefficient
%
%Modified by Rock on 06.02.28
%Modified by Rock on 06.12.10 for r=0
%%Modified 07.03.20 for edge_num=0
%%Modified 07.09.13 for Out/Indegree
TEST=0;
if TEST==1
Nodes=[0,1,1;0,0,1;1,1,0];
Nodes=[0,1,0,1;1,0,1,0;0,1,0,1;1,0,1,0];
Nodes=sparse(Nodes);
end
N=length(Nodes);
edgeNum=nnz(Nodes);%include outEdge and inEdge,ave_degree=edgeNum/N
Outdegree=zeros(N,1);
Indegree=zeros(N,1);
%for i=1:N
% Outdegree(i)=nnz(Nodes(i,:));
% Indegree(i)=nnz(Nodes(:,i));
%end
Outdegree=sum(Nodes(1:end,:));
Indegree=sum(Nodes(:,1:end));
%sum1 is sum(i*j)
%sum2 is sum(i+j)
%sum3 is sum(i^2+j^2)
sum1=0;
sum2=0;
sum3=0;
[Row,Col,Weight]=find(Nodes);
Len=length(Row);
for temp=1:Len
i=Row(temp);
j=Col(temp);
sum1=sum1+(Indegree(j)-1)*(Outdegree(i)-1);
sum2=sum2+(Indegree(j)-1)+(Outdegree(i)-1);
sum3=sum3+(Indegree(j)-1)^2+(Outdegree(i)-1)^2;
end
%for i=1:N
% for j=1:N
% if Nodes(i,j)>0
% sum1=sum1+(Indegree(j)-1)*(Outdegree(i)-1);
% sum2=sum2+(Indegree(j)-1)+(Outdegree(i)-1);
% sum3=sum3+(Indegree(j)-1)^2+(Outdegree(i)-1)^2;
% end
% end
%end
if edgeNum==0%Modified 07.03.20
r=0;
else
if ((sum1/edgeNum)-(sum2/(2*edgeNum))^2)*((sum3/(2*edgeNum))-(sum2/(2*edgeNum))^2)==0 %%Modified by Rock on 06.12.10 for r=0
r=0;
else
r=((sum1/edgeNum)-(sum2/(2*edgeNum))^2)/((sum3/(2*edgeNum))-(sum2/(2*edgeNum))^2);
end
end
return
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -