https://github.com/PerezOrtegaJ/Neural_Ensemble_Analysis
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Tip revision: 9d37fd031dfbdb4eb69faa449d0a6416267a7d4f authored by Jesús Pérez on 28 July 2020, 20:36:58 UTC
Update README.md
Tip revision: 9d37fd0
kcore_bu.m
function [CIJkcore,kn,peelorder,peellevel] = kcore_bu(CIJ,k)
%KCORE_BU       K-core
%
%   [CIJkcore,kn,peelorder,peellevel] = kcore_bu(CIJ,k);
%
%   The k-core is the largest subnetwork comprising nodes of degree at
%   least k. This function computes the k-core for a given binary
%   undirected connection matrix by recursively peeling off nodes with
%   degree lower than k, until no such nodes remain.
%
%   input:          CIJ,        connection/adjacency matrix (binary, undirected)
%                     k,        level of k-core
%
%   output:    CIJkcore,        connection matrix of the k-core.  This matrix
%                               only contains nodes of degree at least k.
%                    kn,        size of k-core
%                    peelorder, indices in the order in which they were
%                               peeled away during k-core decomposition
%                    peellevel, corresponding level - nodes at the same
%                               level were peeled away at the same time
%
%   'peelorder' and 'peellevel' are similar the the k-core sub-shells
%   described in Modha and Singh (2010).
%
%   References: e.g. Hagmann et al. (2008) PLoS Biology
%
%   Olaf Sporns, Indiana University, 2007/2008/2010/2012

%#ok<*AGROW>

peelorder = [];
peellevel = [];
iter = 0;

while 1 

    % get degrees of matrix
    [deg] = degrees_und(CIJ);

    % find nodes with degree <k
    ff = find((deg<k)&(deg>0));
    
    % if none found -> stop
    if (isempty(ff)) break; end;            %#ok<SEPEX>

    % peel away found nodes
    iter = iter+1;
    CIJ(ff,:) = 0;
    CIJ(:,ff) = 0;
    
    peelorder = [peelorder; ff']; 
    peellevel = [peellevel; iter.*ones(1,length(ff))'];
    
end;

CIJkcore = CIJ;
kn = sum(deg>0);

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