使用形式概念分析理解社会网络

V. Snás̃el, Z. Horak, A. Abraham
{"title":"使用形式概念分析理解社会网络","authors":"V. Snás̃el, Z. Horak, A. Abraham","doi":"10.1109/WIIAT.2008.74","DOIUrl":null,"url":null,"abstract":"Social networks are very popular nowadays and the understanding of their inner structure seems to be a promising area. Several approaches for the social network structure visualization has been introduced and the typical problem is the schematic value of such visualization and the computational complexity of their analysis. This paper proposes a method by using the relation between objects, which is reduced and used as an input to Formal Concept Analysis methods. Our method attempts to deal with both mentioned problems.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"Understanding Social Networks Using Formal Concept Analysis\",\"authors\":\"V. Snás̃el, Z. Horak, A. Abraham\",\"doi\":\"10.1109/WIIAT.2008.74\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Social networks are very popular nowadays and the understanding of their inner structure seems to be a promising area. Several approaches for the social network structure visualization has been introduced and the typical problem is the schematic value of such visualization and the computational complexity of their analysis. This paper proposes a method by using the relation between objects, which is reduced and used as an input to Formal Concept Analysis methods. Our method attempts to deal with both mentioned problems.\",\"PeriodicalId\":393772,\"journal\":{\"name\":\"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WIIAT.2008.74\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WIIAT.2008.74","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30

摘要

社交网络现在非常流行,对其内部结构的理解似乎是一个有前途的领域。介绍了社会网络结构可视化的几种方法,典型的问题是这种可视化的原理值及其分析的计算复杂度。本文提出了一种利用对象间关系的方法,并将其简化为形式概念分析方法的输入。我们的方法试图处理上述两个问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Understanding Social Networks Using Formal Concept Analysis
Social networks are very popular nowadays and the understanding of their inner structure seems to be a promising area. Several approaches for the social network structure visualization has been introduced and the typical problem is the schematic value of such visualization and the computational complexity of their analysis. This paper proposes a method by using the relation between objects, which is reduced and used as an input to Formal Concept Analysis methods. Our method attempts to deal with both mentioned problems.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Effective Usage of Computational Trust Models in Rational Environments Link-Based Anomaly Detection in Communication Networks Quality Information Retrieval for the World Wide Web A k-Nearest-Neighbour Method for Classifying Web Search Results with Data in Folksonomies Concept Extraction and Clustering for Topic Digital Library Construction
×
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