Link analysis : an information science approach
著者
書誌事項
Link analysis : an information science approach
(Library and information science / consulting editors, Harold Borko and Elaine Svenonius)
Emerald, c2008
並立書誌 全1件
大学図書館所蔵 全1件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
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  フランス
  ベルギー
  オランダ
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  ノルウェー
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
The web is central to many human activities and infringes on many others: at home, and at work, including education and research. Links between web sites can be used in information science and social science research as a valuable source of evidence about online phenomena, and about online components of offline phenomena. Given a set of websites, the links between them many reveal interesting patterns of connectedness that could reflect issues of underlying human communication or information value. Link analysis is therefore a valuable tool for information science and social science researchers investigating the web, or other phenomena with an offline component. This book provides methods, guidelines and examples to guide researchers and students through a research project, in addition to reviewing a considerable body of previous work. It contains a complete link analysis methodology for information science and social science research. It features a strong online component which includes software and instructions to allow complete link analyses. The case studies include academic, business and commercial search engine applications. Practical chapters describe a range of related methods, software and data sources.
目次
Part I: Theory. Introduction. Web Crawlers and Search Engines. The Theoretical Perspective for Link Counting. Interpreting link counts: Random samples and correlations. Link structures in the web graph. The content structure of the web. Universities: Link types. Universities: Link models. Universities: International links. Departments and subjects. Journals and articles. Search engines and web design. A health check for Spanish universities. Personal web pages linking to universities. Academic networks. Business web sites. Using commercial search engines and the Internet Archive. Personal crawlers. Data cleansing. Online university link databases. Embedded link analysis. Social Network Analysis. Network visualizations. Academic link indicators. Summary. Glossary.
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