搜索资源列表
Fast GN
- Fast Community Detection algorithm 是美国Michigan大学Newman教授所创，是复杂网络中社区发现的经典算法
Community_BGLL_CPP
- 社区发现经典算法BGLL算法的c++实现，能够根据不同节点之间的联系来实现社区的划分。-classical community detection algorithm BGLL, c++ implementation.
经典算法GN算法的Java实现
- 社区发现经典算法GN算法的Java实现，能够根据不同节点之间的联系来实现社区的划分。-Community found that classical algorithm GN algorithm Java implementation, and can be the link between different nodes to achieve the division of the community.
cluster_jl
- 这是论文Fast_unfolding_of_communities_in_large_networks的MATLAB代码，是一种静态社区发现算法-This is the thesis Fast_unfolding_of_communities_in_large_networks MATLAB code, is a static community discovery algorithm
binary_networks
- 目前社区发现算法中验证算法性能的LFR生成程序，其是Windows平台下无向无权重人工网络的生成程序。-LFR benchmark network!
LPA
- 基于标签传播的实时社区发现算法研究，实现了原始标签传播算法。-The research of real-time community detection algorithm based on label propagation.The original label propagation algorithm has been come true.
gn
- 社区发现的经典算法 GN算法的java测试-Java test of the classical algorithm GN algorithm for community detection
COPRA
- Finding overlapping communities in networks by label propagation论文中基于LPA的扩展算法COPRA，可以用于重叠社区的发现(COPRA, an extension algorithm based on LPA, can be used to discover overlapping communities)
lfm
- 重叠社区发现LFM算法，基于python实现，导入的文件是lfr基准测试网络，里面写了检测指标，文件可更改，算法通过网络邻接矩阵来实现社区划分(The overlapping community found the LFM algorithm, based on the python implementation, the imported document is the LFR benchmark network, in which the detection index is written