链接和URL引用计数的比较

M. Thelwall
{"title":"链接和URL引用计数的比较","authors":"M. Thelwall","doi":"10.1108/00012531111148985","DOIUrl":null,"url":null,"abstract":"Purpose – Link analysis is an established topic within webometrics. It normally uses counts of links between sets of web sites or to sets of web sites. These link counts are derived from web crawlers or commercial search engines with the latter being the only alternative for some investigations. This paper compares link counts with URL citation counts in order to assess whether the latter could be a replacement for the former if the major search engines withdraw their advanced hyperlink search facilities.Design/methodology/approach – URL citation counts are compared with link counts for a variety of data sets used in previous webometric studies.Findings – The results show a high degree of correlation between the two but with URL citations being much less numerous, at least outside academia and business.Research limitations/implications – The results cover a small selection of 15 case studies and so the findings are only indicative. Significant differences between results indicate that the difference betwe...","PeriodicalId":55449,"journal":{"name":"Aslib Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"A comparison of link and URL citation counting\",\"authors\":\"M. Thelwall\",\"doi\":\"10.1108/00012531111148985\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose – Link analysis is an established topic within webometrics. It normally uses counts of links between sets of web sites or to sets of web sites. These link counts are derived from web crawlers or commercial search engines with the latter being the only alternative for some investigations. This paper compares link counts with URL citation counts in order to assess whether the latter could be a replacement for the former if the major search engines withdraw their advanced hyperlink search facilities.Design/methodology/approach – URL citation counts are compared with link counts for a variety of data sets used in previous webometric studies.Findings – The results show a high degree of correlation between the two but with URL citations being much less numerous, at least outside academia and business.Research limitations/implications – The results cover a small selection of 15 case studies and so the findings are only indicative. Significant differences between results indicate that the difference betwe...\",\"PeriodicalId\":55449,\"journal\":{\"name\":\"Aslib Proceedings\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aslib Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/00012531111148985\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aslib Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/00012531111148985","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24

摘要

目的-链接分析是网络计量学中的一个既定主题。它通常使用网站集之间或网站集之间的链接计数。这些链接计数来自网络爬虫或商业搜索引擎,后者是一些调查的唯一选择。本文将链接计数与URL引用计数进行比较,以评估如果主要搜索引擎撤回其先进的超链接搜索功能,后者是否可以取代前者。设计/方法/方法- URL引用计数与先前网络计量学研究中使用的各种数据集的链接计数进行比较。调查结果-结果显示两者之间存在高度相关性,但URL引用的数量要少得多,至少在学术界和商界之外。研究局限性/影响-研究结果仅涵盖了15个案例研究的一小部分,因此研究结果仅具有指示性。结果之间的显著差异表明……
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
A comparison of link and URL citation counting
Purpose – Link analysis is an established topic within webometrics. It normally uses counts of links between sets of web sites or to sets of web sites. These link counts are derived from web crawlers or commercial search engines with the latter being the only alternative for some investigations. This paper compares link counts with URL citation counts in order to assess whether the latter could be a replacement for the former if the major search engines withdraw their advanced hyperlink search facilities.Design/methodology/approach – URL citation counts are compared with link counts for a variety of data sets used in previous webometric studies.Findings – The results show a high degree of correlation between the two but with URL citations being much less numerous, at least outside academia and business.Research limitations/implications – The results cover a small selection of 15 case studies and so the findings are only indicative. Significant differences between results indicate that the difference betwe...
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
Aslib Proceedings
Aslib Proceedings 工程技术-计算机:信息系统
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊最新文献
Unearthing historical insights: semantic organization and application of historical newspapers from a fine-grained knowledge element perspective Investigating the consumption behavior of young adults using online food delivery platforms during the COVID-19 pandemic Factors influencing customer satisfaction with AR shopping assistant applications in e-commerce: an empirical analysis utilizing text-mining techniques The role of positive online reviews in risk-based consumer behaviours: an information processing perspective Assessing the informational credibility of conspiracy theories: online discussion about the Nord Stream damage
×
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