matlab实现平均聚集系数,复杂网络聚类系数和平均路径长度计算的MATLAB源代码

复杂网络,聚类系数,matlab

复杂网络聚类系数和平均路径长度计算的MATLAB源代码

申明：文章来自百度用户carrot_hy

复杂网络的代码总共是三个m文件，复制如下：

第一个文件，CCM_ClusteringCoef.m

function [Cp_Global, Cp_Nodal] = CCM_ClusteringCoef(gMatrix, Types)

% CCM_ClusteringCoef calculates clustering coefficients.

% Input:

% gMatrix adjacency matrix

% Types type of graph: 'binary','weighted','directed','all'(default). % Usage:

% [Cp_Global, Cp_Nodal] = CCM_ClusteringCoef(gMatrix, Types) returns

% clustering coefficients for all nodes "Cp_Nodal" and average clustering % coefficient of network "Cp_Global".

% Example:

% G = CCM_TestGraph1('nograph');

% [Cp_Global, Cp_Nodal] = CCM_ClusteringCoef(G);

% Note:

% 1) one node have vaule 0, while which only has a neighbour or none.

% 2) The dircted network termed triplets that fulfill the follow condition % as non-vacuous: j->i->k and k->i-j,if don't satisfy with that as % vacuous, just like: j->i,k->i and i->j,i->k. and the closed triplets % only j->i->k == j->k and k->i->j == k->j.

% 3) 'ALL' type network code from Mika Rubinov's BCT toolkit.

% Refer:

% [1] Barrat et al. (2004) The architecture of the complex weighted networks. % [2] Wasserman,S.,Faust,K.(1994) Social Network Analysis: Methods and % Applications.

% [3] Tore Opsahl and Pietro Panzarasa (2009). "Clustering in Weighted % Networks". Social Networks31(2).

% See also CCM_Transitivity

% Written by Yong Liu, Oct,2007

% Center for Computational Medicine (CCM),

% National Laboratory of Pattern Recognition (NLPR),

% Institute of Automation,Chinese Academy of Sciences (IACAS), China.

% Revise by Hu Yong, Nov, 2010

% E-mail:

% based on Matlab 2006a

% $Revision: 1.0, Copywrite (c) 2007