计算机工程与科学2017，Vol.39Issue(4)：804-812,9.DOI:10.3969/j.issn.1007-130X.2017.04.027
基于链接分析和用户兴趣的微博社区发现算法
A micro-blog community discovery algorithm based on link analysis and user interests
摘要
Abstract
In micro-blog networks,each node represents a micro-blog user.In addition to the existence of social relations between users,individual users also have their own characteristics.The explicit link relationship between users can provide important clues to community discovery.If two users have common interests we can put them to the same community,even if no explicit connection exists between users.However,most of the traditional community discovery methods only consider one of the abovementioned aspects,so we present a miero-blog community detection method based on links and user interests.Simulation results on real data sets verify that the proposed method is reasonable and effective.关键词
微博网络/社区发现/链接分析/用户兴趣Key words
micro-blog network/community discovery/link analysis/user interests分类
信息技术与安全科学引用本文复制引用
郑伟涛,吴永亮,郭芳琳,闫光辉,何力..基于链接分析和用户兴趣的微博社区发现算法[J].计算机工程与科学,2017,39(4):804-812,9.基金项目
国家自然科学基金(61163010) （61163010）
兰州市科技计划项目(2014-1-171) （2014-1-171）
金川公司预研基金(JCYY2013012) （JCYY2013012）
信通核心机房标准化管理技术支持服务(SGGSXT00YJJS1400250) （SGGSXT00YJJS1400250）
