A multi-label community discovery algorithm based on the community kernel

Xiao Han, Yun Liu, Zhen-Jiang Zhang, Jian Li, Fei Xiong
{"title":"A multi-label community discovery algorithm based on the community kernel","authors":"Xiao Han, Yun Liu, Zhen-Jiang Zhang, Jian Li, Fei Xiong","doi":"10.1145/2925995.2926011","DOIUrl":null,"url":null,"abstract":"The main research content is to study and design a feasible multi-label community discovery algorithm for the overlapping community network in this article. This community discovery algorithm has low time complexity, and can conveniently realize the overlapping community discovery. Through the experiment to verify the feasibility and effect of this algorithm, compared this multi-label community discovery algorithm with part of the existing community discovery algorithm from two aspects in time and the classification results in the data sets, confirm the feasibility of this community discovery algorithm.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2925995.2926011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The main research content is to study and design a feasible multi-label community discovery algorithm for the overlapping community network in this article. This community discovery algorithm has low time complexity, and can conveniently realize the overlapping community discovery. Through the experiment to verify the feasibility and effect of this algorithm, compared this multi-label community discovery algorithm with part of the existing community discovery algorithm from two aspects in time and the classification results in the data sets, confirm the feasibility of this community discovery algorithm.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于社区核的多标签社区发现算法
本文的主要研究内容是研究和设计一种可行的针对重叠社区网络的多标签社区发现算法。该算法时间复杂度低,可以方便地实现重叠社区发现。通过实验验证该算法的可行性和效果,从时间和数据集中的分类结果两方面将该多标签社区发现算法与部分现有社区发现算法进行比较,证实了该社区发现算法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Integrating Supply Chain by the Supply Chain Operation Referential Model Agent based Semantic Internet of Things (IoT) in Smart Health care The Perceived Values of Service Industry Innovation Research Subsidiary in Taiwan Positive Knowledge Management: Changing Perceptions towards Knowledge Processes in Organizations Study on dual K-means algorithm in collaborative filtering system based on web log
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1