2023_Blaschke_Stroke_tDCS_rsfMRI/scripts/toolbox/BCT/jdegree.m

function [J,J_od,J_id,J_bl] = jdegree(CIJ)
%JDEGREE        Joint degree distribution
%
%   [J,J_od,J_id,J_bl] = jdegree(CIJ);
%
%   This function returns a matrix in which the value of each element (u,v)
%   corresponds to the number of nodes that have u outgoing connections 
%   and v incoming connections.
%
%   Input:      CIJ,    directed (weighted/binary) connection matrix
%
%   Outputs:    J,      joint degree distribution matrix (shifted by one)
%               J_od,   number of vertices with od>id.
%               J_id,   number of vertices with id>od.
%               J_bl,   number of vertices with id=od.
%
%   Note: Weights are discarded.
%
%
%   Olaf Sporns, Indiana University, 2002/2006/2008


% ensure CIJ is binary...
CIJ = double(CIJ~=0);

N = size(CIJ,1);

id = sum(CIJ,1);    % indegree = column sum of CIJ
od = sum(CIJ,2)';   % outdegree = row sum of CIJ

% Create the joint degree distribution matrix
% Note:  the matrix is shifted by one, to accomodate zero id and od in the first row/column.
% Upper triangular part of the matrix has vertices with an excess of 
%    outgoing edges (od>id)
% Lower triangular part of the matrix has vertices with an excess of
%    outgoing edges (id>od)
% Main diagonal has units with id=od

szJ = max(max(id,od))+1;
J = zeros(szJ);

for i=1:N
   J(id(i)+1,od(i)+1) = J(id(i)+1,od(i)+1) + 1;
end;

J_od = sum(sum(triu(J,1)));
J_id = sum(sum(tril(J,-1)));
J_bl = sum(diag(J));