搜索资源列表
SNA
- 复杂网络社团发现算法,包括重叠社团发现算法和一些非重叠社团发现算法。-Complex network community discovery algorithm
CliqueB
- 基于派系方法的社团结构划分算法,自己实现的,C++代码源程序。-A method of community structure based clique.
GCE(linux)
- 社会网络的重叠社区发现算法GCE的源程序,其在高密度网络中社区发现性能更加优良。-Source program of community detection algorith GCE.
k_clique
- [X,Y,Z] = k_clique(k,A) Inputs: k - clique size A - adjacency matrix Outputs: X - detected communities Y - all cliques (i.e. complete subgraphs that are not parts of larger complete subgraphs) Z - k-clique matrix-k-clique alg
Overview-of--DCS-in-CN
- 复杂网络中的社团结构算法综述 关 键 词 :复杂网络 社团结构 层次性 模块度函数 重叠性-Overview of Algorithms for Detecting Community Structure in Complex Networks
Overview-of-Community-Detection
- 读研期间进行的社区网络划分相关的研究,看到当时长时间的调研后,完成的综述,供大家参考-Overview of Community Detection
GA-Net
- 很经典的社区网络问题解决方案,基于传统的遗传算法GA为优化策略。-GA-Net: A Genetic Algorithm for Community Detection in Social Networks
community
- 基于FastUnfolding实现的社区发现方法,网上找的源码。-FastUnfolding
Newman
- 数据挖掘 社团挖掘 NewMan算法 参考文献:M. E. J. Newman,Fast algorithm for detecting community structure in networks -data Mining, Newman
community-detection
- 社交网络人际关系社团划分,用R语言中的igraph包进行社团划分-community detection
copra
- 社区发现算法 copra,用于发现重叠社区-Community discovery algorithm copra, used to recreate the community