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  • × author_ss:"Thelwall, M."
  • × theme_ss:"Informetrie"
  • × theme_ss:"Internet"
  1. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.01 
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    Date
    4.12.2006 12:12:22
  2. Thelwall, M.: Webometrics (2009) 0.00 
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    Footnote
    Vgl.: http://www.tandfonline.com/doi/book/10.1081/E-ELIS3.
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  3. Thelwall, M.; Vaughan, L.: Webometrics : an introduction to the special issue (2004) 0.00 
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  4. Thelwall, M.: ¬A comparison of link and URL citation counting (2011) 0.00 
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    Abstract
    Purpose - Link analysis is an established topic within webometrics. It normally uses counts of links between sets of web sites or to sets of web sites. These link counts are derived from web crawlers or commercial search engines with the latter being the only alternative for some investigations. This paper compares link counts with URL citation counts in order to assess whether the latter could be a replacement for the former if the major search engines withdraw their advanced hyperlink search facilities. Design/methodology/approach - URL citation counts are compared with link counts for a variety of data sets used in previous webometric studies. Findings - The results show a high degree of correlation between the two but with URL citations being much less numerous, at least outside academia and business. Research limitations/implications - The results cover a small selection of 15 case studies and so the findings are only indicative. Significant differences between results indicate that the difference between link counts and URL citation counts will vary between webometric studies. Practical implications - Should link searches be withdrawn, then link analyses of less well linked non-academic, non-commercial sites would be seriously weakened, although citations based on e-mail addresses could help to make citations more numerous than links for some business and academic contexts. Originality/value - This is the first systematic study of the difference between link counts and URL citation counts in a variety of contexts and it shows that there are significant differences between the two.
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  5. Payne, N.; Thelwall, M.: Mathematical models for academic webs : linear relationship or non-linear power law? (2005) 0.00 
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  6. Thelwall, M.; Wilkinson, D.: Finding similar academic Web sites with links, bibliometric couplings and colinks (2004) 0.00 
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  7. Thelwall, M.: ¬A comparison of sources of links for academic Web impact factor calculations (2002) 0.00 
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  8. Thelwall, M.: Interpreting social science link analysis research : a theoretical framework (2006) 0.00 
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  9. Thelwall, M.: Extracting macroscopic information from Web links (2001) 0.00 
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  10. Thelwall, M.: Conceptualizing documentation on the Web : an evaluation of different heuristic-based models for counting links between university Web sites (2002) 0.00 
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  11. Vaughan, L.; Thelwall, M.: Scholarly use of the Web : what are the key inducers of links to journal Web sites? (2003) 0.00 
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  12. Thelwall, M.; Vaughan, L.; Björneborn, L.: Webometrics (2004) 0.00 
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  13. Thelwall, M.: Results from a web impact factor crawler (2001) 0.00 
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  14. Thelwall, M.; Sud, P.: ¬A comparison of methods for collecting web citation data for academic organizations (2011) 0.00 
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