计算机工程与应用2018，Vol.54Issue(8)：143-148,6.DOI:10.3778/j.issn.1002-8331.1611-0528
基于Skip-gram模型的社区查询算法
Community search based on Skip-gram
摘要
Abstract
The huge size and complex structure of the social network make it impossible to explore the community struc-ture of the whole network.Therefore,the community search,which focuses on the local community structure,has impor-tant research significance. Previous community-search algorithms usually combine irrelevant structures into the target community.This paper uses the Skip-gram model to learn the latent representations of networks,and uses the new good-ness metric of community which combines the similarity and degree of the nodes together to find the target community. The experiments on real networks demonstrate the accuracy and consistency of the new algorithm.关键词
社区查询/局部社区发现/Skip-gram模型/节点相似度Key words
community search/local community detection/Skip-gram/similarity of nodes分类
信息技术与安全科学引用本文复制引用
廖宇,朱福喜,刘世超..基于Skip-gram模型的社区查询算法[J].计算机工程与应用,2018,54(8):143-148,6.基金项目
国家自然科学基金(No.61272277). （No.61272277）
