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Link analysis : an information science approach / edited by Mike Thelwall

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Library and information science ; Volume 04Publisher: Bingley, U.K : Emerald, 2004Description: Online-RessourceISBN:
  • 9781849507905
Subject(s): Additional physical formats: 9780120885534 | Erscheint auch als: 9780120885534 Druck-AusgabeDOI: DOI: 10.1108/S1876-0562(2004)04Online resources: Additional physical formats: Online-Ausg.Summary: 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 sourcesSummary: Introduction / Mike Thelwall -- Departments and subjects / Mike Thelwall -- Journals and articles / Mike Thelwall -- Search engines and web design / Mike Thelwall -- A health check for Spanish universities / Mike Thelwall -- Personal web pages linking to universities / Mike Thelwall -- Academic networks / Mike Thelwall -- Business web sites / Mike Thelwall -- Using commercial search engines and the internet archive / Mike Thelwall -- Personal crawlers / Mike Thelwall -- Data cleansing / Mike Thelwall -- Online university link databases / Mike Thelwall -- Embedded link analysis methodologies / Mike Thelwall -- Social network analysis / Mike Thelwall -- Network visualizations / Mike Thelwall -- Academic link indicators / Mike Thelwall -- The theoretical perspective for link counting / Mike Thelwall -- Interpreting link counts : random samples and correlations / Mike Thelwall -- Link structures in the web graph / Mike Thelwall -- The content structure of the web / Mike Thelwall -- Universities : link types / Mike Thelwall -- Universities : link models / Mike Thelwall -- Web crawlers and search engines / Mike Thelwall -- Universities : international links / Mike Thelwall. - 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 sourcesPPN: PPN: 661528332Package identifier: Produktsigel: ZDB-1-EPB | ZDB-55-BME | ZDB-1-BMEN
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