Link Analysis : an Information Science Approach. (eBook, 2004) [WorldCat.org]
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Link Analysis : an Information Science Approach.

Author: Mike Thelwall
Publisher: Burlington : Emerald Group Pub., 2004.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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.
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Details

Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Mike Thelwall
ISBN: 9780080473215 0080473210 1280968230 9781280968235
OCLC Number: 469401647
Description: 1 online resource (282 pages)
Contents: 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.

Abstract:

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.

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