• Admin Login
    View Item 
    •   Home
    • Research Institute in Information and Language Processing
    • Research Institute in Information and Language Processing
    • View Item
    •   Home
    • Research Institute in Information and Language Processing
    • Research Institute in Information and Language Processing
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of WIRECommunitiesTitleAuthorsIssue DateSubmit DateSubjectsTypesJournalDepartmentPublisherThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsTypesJournalDepartmentPublisher

    Administrators

    Admin Login

    Local Links

    AboutThe University LibraryOpen Access Publications PolicyDeposit LicenceCOREWIRE Copyright and Reuse Information

    Statistics

    Display statistics

    Web log file analysis: backlinks and queries

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    2001_Web_Log_File_Analysis_Bac ...
    Size:
    226.5Kb
    Format:
    PDF
    Description:
    Main article
    Download
    Authors
    Thelwall, Mike
    Issue Date
    2001
    
    Metadata
    Show full item record
    Abstract
    As has been described else where, web log files are a useful source of information about visitor site use, navigation behaviour, and, to some extent, demographics. But log files can also reveal the existence of both web pages and search engine queries that are sources of new visitors.This study extracts such information from a single web log files and uses it to illustrate its value, not only to th site owner but also to those interested in investigating the online behaviour of web users.
    Citation
    Aslib Proceedings New Information Perspectives, 53(6): 217-223
    Publisher
    MCB UP Ltd
    URI
    http://hdl.handle.net/2436/3144
    DOI
    10.1108/EUM0000000007055
    Additional Links
    http://www.emeraldinsight.com/10.1108/EUM0000000007055
    Type
    Journal article
    Language
    en
    ISSN
    0001253X,00000000
    ae974a485f413a2113503eed53cd6c53
    10.1108/EUM0000000007055
    Scopus Count
    Collections
    Research Institute in Information and Language Processing

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.