📄 get_degree.m
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function Degree=get_degree(Nodes)
%r=(<ab>-<a><b>)/squr( (<a^2>-<a>^2)(<b^2>-<b>^2) )
% =( sum(ab)-sum(a)sum(b)/N )/sqrt( ( (sum(a^2)-sum(a)^2/N )(sum(b^2)-sum(b)^2/N ) )
%see Ref[PRE70,046126,2004]
%
%Properties of Pearson's Correlation
%http://www.stat.tamu.edu/stat30x/notes/node40.html
%1.The value of r does not depend upon the units of measurement. For example,
%if X is the weight in pounds and Y is the height in inches of a person,
%then the correlation between X and Y would be the same if we measured X in kilograms and Y in centimeters.
%2.The value of r does not depend upon which variable is labeled X and which variable is labeled Y.
%3.1-<=r<=1.A positive value of r means a positive linear relationship, a negative value of r means a negative linear relationship.
%4.r=1 or -1 happens only when all the points of the scatter plot lie exactly on a straight line.
%5.r measures only the linear relationship between X and Y.
%Usually we will refer to Pearson's correlation simply by saying ``the correlation between X and Y is ''
%
N=length(Nodes);
Degree=zeros(N,1);
for i=1:N
Nodes(i,i)=0;
Degree(i)=nnz(Nodes(i,:));
end
return
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