南京大学学报(自然科学版) ›› 2017, Vol. 53 ›› Issue (4): 764.
段 震1,2,闵 星1,2,王倩倩2,3,陈 洁1,2,张燕平1,2,赵 姝1,2*
Duan Zhen1,2,Min Xing1,2,Wang Qianqian2,3,Chen Jie1,2,Zhang Yanping1,2,Zhao Shu1,2*
摘要: 社区发现旨在挖掘复杂网络的社区结构,现有的社区发现方法普遍存在着划分速度和精度不均衡的问题.商空间理论是一种粒度计算理论,通过粒度变换来降低问题求解复杂度,同时保持问题求解精度.提出一种基于商空间的多层粒化社区发现方法(multilayer granulation community detection method based on quotient space,MGQS).该方法首先通过快速粒化操作对复杂网络进行多层次粒化,形成逐层粒化、逐层抽象的多粒度商空间,再依据所求问题选择最佳粒层作为最终划分结果.在公用数据集上的系列实验结果表明,相比于其他算法,该方法既能快速划分不同类型和规模的网络,也能获取多粒度的社区结构并根据所求问题选择最佳粒层,取得较高的模块度值和NMI值.
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