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  • × author_ss:"Thelwall, M."
  • × year_i:[2000 TO 2010}
  1. Thelwall, M.: Extracting macroscopic information from Web links (2001) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.13, S.1157-1168
  2. Thelwall, M.; Vaughan, L.; Björneborn, L.: Webometrics (2004) 0.00 
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    Abstract
    Webometrics, the quantitative study of Web-related phenomena, emerged from the realization that methods originally designed for bibliometric analysis of scientific journal article citation patterns could be applied to the Web, with commercial search engines providing the raw data. Almind and Ingwersen (1997) defined the field and gave it its name. Other pioneers included Rodriguez Gairin (1997) and Aguillo (1998). Larson (1996) undertook exploratory link structure analysis, as did Rousseau (1997). Webometrics encompasses research from fields beyond information science such as communication studies, statistical physics, and computer science. In this review we concentrate on link analysis, but also cover other aspects of webometrics, including Web log fle analysis. One theme that runs through this chapter is the messiness of Web data and the need for data cleansing heuristics. The uncontrolled Web creates numerous problems in the interpretation of results, for instance, from the automatic creation or replication of links. The loose connection between top-level domain specifications (e.g., com, edu, and org) and their actual content is also a frustrating problem. For example, many .com sites contain noncommercial content, although com is ostensibly the main commercial top-level domain. Indeed, a skeptical researcher could claim that obstacles of this kind are so great that all Web analyses lack value. As will be seen, one response to this view, a view shared by critics of evaluative bibliometrics, is to demonstrate that Web data correlate significantly with some non-Web data in order to prove that the Web data are not wholly random. A practical response has been to develop increasingly sophisticated data cleansing techniques and multiple data analysis methods.
    Source
    Annual review of information science and technology. 39(2005), S.81-138
  3. Thelwall, M.: ¬A layered approach for investigating the topological structure of communities in the Web (2003) 0.00 
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    Abstract
    A layered approach for identifying communities in the Web is presented and explored by applying the flake exact community identification algorithm to the UK academic Web. Although community or topic identification is a common task in information retrieval, a new perspective is developed by: the application of alternative document models, shifting the focus from individual pages to aggregated collections based upon Web directories, domains and entire sites; the removal of internal site links; and the adaptation of a new fast algorithm to allow fully-automated community identification using all possible single starting points. The overall topology of the graphs in the three least-aggregated layers was first investigated and found to include a large number of isolated points but, surprisingly, with most of the remainder being in one huge connected component, exact proportions varying by layer. The community identification process then found that the number of communities far exceeded the number of topological components, indicating that community identification is a potentially useful technique, even with random starting points. Both the number and size of communities identified was dependent on the parameter of the algorithm, with very different results being obtained in each case. In conclusion, the UK academic Web is embedded with layers of non-trivial communities and, if it is not unique in this, then there is the promise of improved results for information retrieval algorithms that can exploit this additional structure, and the application of the technique directly to partially automate Web metrics tasks such as that of finding all pages related to a given subject hosted by a single country's universities.
  4. Thelwall, M.: Quantitative comparisons of search engine results (2008) 0.00 
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    Abstract
    Search engines are normally used to find information or Web sites, but Webometric investigations use them for quantitative data such as the number of pages matching a query and the international spread of those pages. For this type of application, the accuracy of the hit count estimates and range of URLs in the full results are important. Here, we compare the applications programming interfaces of Google, Yahoo!, and Live Search for 1,587 single word searches. The hit count estimates were broadly consistent but with Yahoo! and Google, reporting 5-6 times more hits than Live Search. Yahoo! tended to return slightly more matching URLs than Google, with Live Search returning significantly fewer. Yahoo!'s result URLs included a significantly wider range of domains and sites than the other two, and there was little consistency between the three engines in the number of different domains. In contrast, the three engines were reasonably consistent in the number of different top-level domains represented in the result URLs, although Yahoo! tended to return the most. In conclusion, quantitative results from the three search engines are mostly consistent but with unexpected types of inconsistency that users should be aware of. Google is recommended for hit count estimates but Yahoo! is recommended for all other Webometric purposes.
    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.11, S.1702-1710
  5. Kousha, K.; Thelwall, M.: Assessing the impact of disciplinary research on teaching : an automatic analysis of online syllabuses (2008) 0.00 
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    Abstract
    The impact of published academic research in the sciences and social sciences, when measured, is commonly estimated by counting citations from journal articles. The Web has now introduced new potential sources of quantitative data online that could be used to measure aspects of research impact. In this article we assess the extent to which citations from online syllabuses could be a valuable source of evidence about the educational utility of research. An analysis of online syllabus citations to 70,700 articles published in 2003 in the journals of 12 subjects indicates that online syllabus citations were sufficiently numerous to be a useful impact indictor in some social sciences, including political science and information and library science, but not in others, nor in any sciences. This result was consistent with current social science research having, in general, more educational value than current science research. Moreover, articles frequently cited in online syllabuses were not necessarily highly cited by other articles. Hence it seems that online syllabus citations provide a valuable additional source of evidence about the impact of journals, scholars, and research articles in some social sciences.
    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.13, S.2060-2069
  6. Price, L.; Thelwall, M.: ¬The clustering power of low frequency words in academic webs (2005) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.8, S.883-888
  7. Thelwall, M.: Directing students to new information types : a new role for Google in literature searches? (2005) 0.00 
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  8. Vaughan, L.; Thelwall, M.: ¬A modelling approach to uncover hyperlink patterns : the case of Canadian universities (2005) 0.00 
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    Source
    Information processing and management. 41(2005) no.2, S.347-360
  9. Payne, N.; Thelwall, M.: Mathematical models for academic webs : linear relationship or non-linear power law? (2005) 0.00 
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    Source
    Information processing and management. 41(2005) no.6, S.1495-1510
  10. Thelwall, M.; Wilkinson, D.: Graph structure in three national academic Webs : power laws with anomalies (2003) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.8, S.706-712
  11. Thelwall, M.: Text characteristics of English language university Web sites (2005) 0.00 
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    Journal of the American Society for Information Science and Technology. 56(2005) no.6, S.609-619
  12. Thelwall, M.: ¬A comparison of sources of links for academic Web impact factor calculations (2002) 0.00 
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    Abstract
    There has been much recent interest in extracting information from collections of Web links. One tool that has been used is Ingwersen's Web impact factor. It has been demonstrated that several versions of this metric can produce results that correlate with research ratings of British universities showing that, despite being a measure of a purely Internet phenomenon, the results are susceptible to a wider interpretation. This paper addresses the question of which is the best possible domain to count backlinks from, if research is the focus of interest. WIFs for British universities calculated from several different source domains are compared, primarily the .edu, .ac.uk and .uk domains, and the entire Web. The results show that all four areas produce WIFs that correlate strongly with research ratings, but that none produce incontestably superior figures. It was also found that the WIF was less able to differentiate in more homogeneous subsets of universities, although positive results are still possible.
  13. Thelwall, M.: Interpreting social science link analysis research : a theoretical framework (2006) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.1, S.60-68
  14. Thelwall, M.; Price, L.: Language evolution and the spread of ideas on the Web : a procedure for identifying emergent hybrid word (2006) 0.00 
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    Journal of the American Society for Information Science and Technology. 57(2006) no.10, S.1326-1337
  15. Thelwall, M.; Prabowo, R.: Identifying and characterizing public science-related fears from RSS feeds (2007) 0.00 
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    Journal of the American Society for Information Science and Technology. 58(2007) no.3, S.379-390
  16. Thelwall, M.: Extracting accurate and complete results from search engines : case study windows live (2008) 0.00 
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    Journal of the American Society for Information Science and Technology. 59(2008) no.1, S.38-50
  17. Angus, E.; Thelwall, M.; Stuart, D.: General patterns of tag usage among university groups in Flickr (2008) 0.00 
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    Source
    Online information review. 32(2008) no.1, S.89-101
  18. Thelwall, M.: Homophily in MySpace (2009) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.2, S.219-231
  19. Shifman, L.; Thelwall, M.: Assessing global diffusion with Web memetics : the spread and evolution of a popular joke (2009) 0.00 
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    Journal of the American Society for Information Science and Technology. 60(2009) no.12, S.2567-2576
  20. Thelwall, M.; Wilkinson, D.; Uppal, S.: Data mining emotion in social network communication : gender differences in MySpace (2009) 0.00 
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    Journal of the American Society for Information Science and Technology. 61(2010) no.1, S.190-199

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