https://github.com/PerezOrtegaJ/Neural_Ensemble_Analysis
Tip revision: 9d37fd031dfbdb4eb69faa449d0a6416267a7d4f authored by Jesús Pérez on 28 July 2020, 20:36:58 UTC
Update README.md
Update README.md
Tip revision: 9d37fd0
density_und.m
function [kden,N,K] = density_und(CIJ)
% DENSITY_UND Density
%
% kden = density_und(CIJ);
% [kden,N,K] = density_und(CIJ);
%
% Density is the fraction of present connections to possible connections.
%
% Input: CIJ, undirected (weighted/binary) connection matrix
%
% Output: kden, density
% N, number of vertices
% K, number of edges
%
% Notes: Assumes CIJ is undirected and has no self-connections.
% Weight information is discarded.
%
%
% Olaf Sporns, Indiana University, 2002/2007/2008
% Modification history:
% 2009-10: K fixed to sum over one half of CIJ [Tony Herdman, SFU]
N = size(CIJ,1);
K = nnz(triu(CIJ));
kden = K/((N^2-N)/2);