华中师范大学学报（自然科学版）2017，Vol.51Issue(4)：435-440,6.DOI:10.19603/j.cnki.1000-1190.2017.04.004
基于联合引力度扩展的加权网络重叠社区划分算法
Overlapping community detection algorithm based on expansion of union gravitational degree in weighted networks
摘要
Abstract
The overlapping community detection algorithm based on expansion of gravitational degree,which is mainly used to excavate overlapping community structure in social networks,is applied to un-weighted networks.Real community is more with weighted attributes,according to the seed strategy of GDE,and based on the characteristics of the weighted network,the core node of a community is able to be determined by its degree and strength.Here the over overlapping community detection algorithm based on expansion of union gravitational degree in weighted networks (UGDE) is proposed.According to experimental results,it demonstrates that the algorithm is efficient and feasible for detecting overlapping communities in weighted networks.关键词
重叠社区/联合度/联合引力度/社区划分/加权网络Key words
overlapping community/union degree/union gravitational degree/community detection/weighted network分类
信息技术与安全科学引用本文复制引用
孙延维,雷建军,杨进才..基于联合引力度扩展的加权网络重叠社区划分算法[J].华中师范大学学报（自然科学版）,2017,51(4):435-440,6.基金项目
国家社会科学基金项目(14BYY093). （14BYY093）
