Community_BGLL_Matlab
所属分类:matlab编程
开发工具:Windows_Unix
文件大小:38KB
下载次数:154
上传日期:2014-05-27 22:09:38
上 传 者:
fymaplefish
说明: 复杂网络社团发现算法Louvain的matlab版本,简单实用,欢迎下载
(Louvain complex network of associations discovery algorithm matlab version, simple and practical, welcome to download)
文件列表:
Community_BGLL_Matlab (0, 2011-08-03)
Community_BGLL_Matlab\cluster_jl.m (5658, 2008-07-15)
__MACOSX (0, 2011-08-03)
__MACOSX\Community_BGLL_Matlab (0, 2011-08-03)
__MACOSX\Community_BGLL_Matlab\._cluster_jl.m (205, 2008-07-15)
Community_BGLL_Matlab\cluster_jl_cpp.m (4166, 2008-07-15)
__MACOSX\Community_BGLL_Matlab\._cluster_jl_cpp.m (205, 2008-07-15)
Community_BGLL_Matlab\cluster_jl_orient.m (5891, 2008-07-15)
__MACOSX\Community_BGLL_Matlab\._cluster_jl_orient.m (205, 2008-07-15)
Community_BGLL_Matlab\cluster_jl_orient_cpp.m (3859, 2008-07-15)
__MACOSX\Community_BGLL_Matlab\._cluster_jl_orient_cpp.m (205, 2008-07-15)
Community_BGLL_Matlab\cluster_jl_orientT.m (5621, 2008-07-15)
__MACOSX\Community_BGLL_Matlab\._cluster_jl_orientT.m (205, 2008-07-15)
Community_BGLL_Matlab\cluster_jl_orientT_cpp.m (4056, 2008-07-15)
__MACOSX\Community_BGLL_Matlab\._cluster_jl_orientT_cpp.m (205, 2008-07-15)
Community_BGLL_Matlab\jl_clust.cpp (5546, 2008-07-15)
__MACOSX\Community_BGLL_Matlab\._jl_clust.cpp (205, 2008-07-15)
Community_BGLL_Matlab\jl_clust.mexglx (13241, 2008-07-15)
__MACOSX\Community_BGLL_Matlab\._jl_clust.mexglx (205, 2008-07-15)
Community_BGLL_Matlab\jl_clust_orient.cpp (5856, 2008-07-15)
__MACOSX\Community_BGLL_Matlab\._jl_clust_orient.cpp (205, 2008-07-15)
Community_BGLL_Matlab\jl_clust_orient.mexglx (14264, 2008-07-15)
__MACOSX\Community_BGLL_Matlab\._jl_clust_orient.mexglx (205, 2008-07-15)
Community_BGLL_Matlab\jl_mnew.cpp (1843, 2008-06-26)
__MACOSX\Community_BGLL_Matlab\._jl_mnew.cpp (205, 2008-06-26)
Community_BGLL_Matlab\jl_mnew.mexglx (8756, 2008-07-15)
__MACOSX\Community_BGLL_Matlab\._jl_mnew.mexglx (205, 2008-07-15)
__MACOSX\._Community_BGLL_Matlab (205, 2011-08-03)
Matlab / C++ implementation of community detection algorithm.
After "Fast unfolding of community hierarchies in large networks"
Vincent D. Blondel, Jean-Loup Guillaume, Renaud Lambiotte and
Etienne Lefebvre
Journal of Statistical Mechanics: Theory and Experiment, 1742-5468, P10008 (12 pp.), 2008.
Implementation : Antoine Scherrer
antoine.scherrer@ens-lyon.fr
*** USAGE - Full matlab
See help of m files for details.
cluster_jl.m : Weighted (or not), non oriented version of algorithm
matrix is symetrized using sum of incoming and outgoing weights)
cluster_jl_orient.m : Weighted (or not), oriented version of algorithm
using extended definition of modularity for oriented graphs
cluster_jl_orientT.m : Weighted (or not), oriented version of algorithm
using symetric matrix A = M*M^t
*** USAGE - Matlab/C++
You need to compile jl_clust.cpp, jl_mnew.cpp and jl_clust_orient.cpp
with mex compiler. Then you can use the following routines to perform
the community detection faster.
cluster_jl_cpp.m : Weighted (or not), non oriented version of algorithm
matrix is symetrized using sum of incoming and outgoing weights)
cluster_jl_orient_cpp.m : Weighted (or not), oriented version of algorithm
using extended definition of modularity for oriented graphs
cluster_jl_orientT_cpp.m : Weighted (or not), oriented version of algorithm
using symetric matrix A = M*M^t
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