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  • 标题:Search Engines and Alternative Data Sources in Webometric Research: An Exploratory Study
  • 本地全文:下载
  • 作者:Samir Kumar Jalal ; B. Sutradhar ; Kalyan Sahu
  • 期刊名称:DESIDOC Journal of Library & Information Technology
  • 电子版ISSN:0976-4658
  • 出版年度:2015
  • 卷号:35
  • 期号:6
  • 语种:English
  • 出版社:DESIDOC, Ministry of Defence, India
  • 摘要:Web contents are interlinked at each other through hyperlinks. Inter-linking nature of web explores significant sources of information. In the context of exploring hyper-linking behaviour of the web and retrieving relevant information, search engines and web crawlers play a predominant role as data sources but search engines had mostly withdrawn their supports after December 2011. An attempt has taken to evaluate search engines (Google, AoL, Bing, Yahoo!) using some criteria and found that AoL has the highest coverage among these search engines. The paper also identifies various alternative data sources to carry out webometric research. The finding of the study shows that majestic.com is a predominant and comprehensive data source among alternative data sources in webometric research. http://dx.doi.org/10.14429/djlit.35.6.8883
  • 关键词:Webometrics, alternate data sources, search engine, evaluation criteria, classification of backlinks
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