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  • 1
    Online Resource
    Online Resource
    Bingley, U.K. :Emerald,
    UID:
    almahu_9949068981802882
    Format: 1 online resource (269 p.).
    ISBN: 9781849507905 (electronic bk.) :
    Series Statement: Library and information science, v. 4
    Content: 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.
    Note: 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.
    Additional Edition: ISBN 9780120885534
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Bingley, U.K : Emerald
    UID:
    gbv_661528332
    Format: Online-Ressource
    Edition: Online-Ausg. Online-Ausg
    ISBN: 9781849507905
    Series Statement: Library and information science Volume 04
    Content: 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
    Content: 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 sources
    Note: Online-Ausg.
    Additional Edition: ISBN 9780120885534
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780120885534
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Book
    Book
    Amsterdam [u.a.] : Elsevier Academic Press
    UID:
    gbv_51689725X
    Format: XII, 269 S , Ill., graph. Darst , 24 cm
    Edition: 1. ed.
    ISBN: 9780120885534 , 0120885530
    Series Statement: Library and information science
    Language: English
    Subjects: Computer Science
    RVK:
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  • 4
    Online Resource
    Online Resource
    Amsterdam : Elsevier Academic Press
    UID:
    gbv_685914550
    Format: Online-Ressource (xii, 269 p) , ill
    Edition: 1st ed
    Edition: Online-Ausg. Palo Alto, Calif ebrary 2009 Electronic reproduction; Available via World Wide Web
    ISBN: 0120885530 , 9780080473215 , 9780120885534
    Series Statement: Library and information science 04
    Content: 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
    Note: Includes bibliographical references and index , Cover; Link Analysis: An Information Science Approach; Theory; Introduction; Web Crawlers and Search Engines; The Theoretical Perspective for Link Counting; Interpreting Link Counts: Random Samples and Correlations; Web Structure; Link Structures in the Web Graph; The Content Structure of the Web; Academic Links; Universities: Link Types; Universities: Link Models; Universities: International Links; Departments and Subjects; Journals and Articles; Applications; Search Engines and Web Design; A Health Check for Spanish Universities; Personal Web Pages Linking to Universities; Academic Networks , Business Web SitesV Tools and Techniques; Using Commercial Search Engines and the Internet Archive; Personal Crawlers; Data Cleansing; Online University Link Databases; Embedded Link Analysis Methodologies; Social Network Analysis; Network Visualizations; Academic Link Indicators; Summary; Summary; Glossary; Appendix , Electronic reproduction; Available via World Wide Web
    Additional Edition: Erscheint auch als Druck-Ausgabe Link Analysis An Information Science Approach
    Language: English
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Amsterdam ; : Elsevier Academic Press,
    UID:
    almafu_9958132171502883
    Format: 1 online resource (282 p.)
    Edition: 1st ed.
    ISBN: 1-280-96823-0 , 9786610968237 , 1-84950-790-2 , 0-08-047321-0
    Series Statement: Library and information science
    Content: 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.
    Note: Description based upon print version of record. , 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. , English
    Additional Edition: ISBN 0-12-088553-0
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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