Search (49 results, page 1 of 3)

  • × author_ss:"Thelwall, M."
  • × year_i:[2000 TO 2010}
  1. Levitt, J.M.; Thelwall, M.: Citation levels and collaboration within library and information science (2009) 0.03
    0.031731267 = product of:
      0.11899225 = sum of:
        0.015904883 = product of:
          0.031809766 = sum of:
            0.031809766 = weight(_text_:bibliothekswesen in 2734) [ClassicSimilarity], result of:
              0.031809766 = score(doc=2734,freq=2.0), product of:
                0.12917466 = queryWeight, product of:
                  4.457672 = idf(docFreq=1392, maxDocs=44218)
                  0.028978055 = queryNorm
                0.24625391 = fieldWeight in 2734, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.457672 = idf(docFreq=1392, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2734)
          0.5 = coord(1/2)
        0.032484557 = weight(_text_:informationswissenschaft in 2734) [ClassicSimilarity], result of:
          0.032484557 = score(doc=2734,freq=2.0), product of:
            0.13053758 = queryWeight, product of:
              4.504705 = idf(docFreq=1328, maxDocs=44218)
              0.028978055 = queryNorm
            0.24885213 = fieldWeight in 2734, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.504705 = idf(docFreq=1328, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2734)
        0.031809766 = weight(_text_:bibliothekswesen in 2734) [ClassicSimilarity], result of:
          0.031809766 = score(doc=2734,freq=2.0), product of:
            0.12917466 = queryWeight, product of:
              4.457672 = idf(docFreq=1392, maxDocs=44218)
              0.028978055 = queryNorm
            0.24625391 = fieldWeight in 2734, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.457672 = idf(docFreq=1392, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2734)
        0.038793035 = sum of:
          0.01103113 = weight(_text_:information in 2734) [ClassicSimilarity], result of:
            0.01103113 = score(doc=2734,freq=10.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.21684799 = fieldWeight in 2734, product of:
                3.1622777 = tf(freq=10.0), with freq of:
                  10.0 = termFreq=10.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.0390625 = fieldNorm(doc=2734)
          0.027761906 = weight(_text_:22 in 2734) [ClassicSimilarity], result of:
            0.027761906 = score(doc=2734,freq=4.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.27358043 = fieldWeight in 2734, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0390625 = fieldNorm(doc=2734)
      0.26666668 = coord(4/15)
    
    Abstract
    Collaboration is a major research policy objective, but does it deliver higher quality research? This study uses citation analysis to examine the Web of Science (WoS) Information Science & Library Science subject category (IS&LS) to ascertain whether, in general, more highly cited articles are more highly collaborative than other articles. It consists of two investigations. The first investigation is a longitudinal comparison of the degree and proportion of collaboration in five strata of citation; it found that collaboration in the highest four citation strata (all in the most highly cited 22%) increased in unison over time, whereas collaboration in the lowest citation strata (un-cited articles) remained low and stable. Given that over 40% of the articles were un-cited, it seems important to take into account the differences found between un-cited articles and relatively highly cited articles when investigating collaboration in IS&LS. The second investigation compares collaboration for 35 influential information scientists; it found that their more highly cited articles on average were not more highly collaborative than their less highly cited articles. In summary, although collaborative research is conducive to high citation in general, collaboration has apparently not tended to be essential to the success of current and former elite information scientists.
    Date
    22. 3.2009 12:43:51
    Field
    Bibliothekswesen
    Informationswissenschaft
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.434-442
  2. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.02
    0.02261402 = product of:
      0.1130701 = sum of:
        0.02179256 = weight(_text_:und in 77) [ClassicSimilarity], result of:
          0.02179256 = score(doc=77,freq=6.0), product of:
            0.06422601 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.028978055 = queryNorm
            0.33931053 = fieldWeight in 77, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0625 = fieldNorm(doc=77)
        0.05197529 = weight(_text_:informationswissenschaft in 77) [ClassicSimilarity], result of:
          0.05197529 = score(doc=77,freq=2.0), product of:
            0.13053758 = queryWeight, product of:
              4.504705 = idf(docFreq=1328, maxDocs=44218)
              0.028978055 = queryNorm
            0.3981634 = fieldWeight in 77, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.504705 = idf(docFreq=1328, maxDocs=44218)
              0.0625 = fieldNorm(doc=77)
        0.03930225 = sum of:
          0.0078932345 = weight(_text_:information in 77) [ClassicSimilarity], result of:
            0.0078932345 = score(doc=77,freq=2.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.1551638 = fieldWeight in 77, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.0625 = fieldNorm(doc=77)
          0.031409014 = weight(_text_:22 in 77) [ClassicSimilarity], result of:
            0.031409014 = score(doc=77,freq=2.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.30952093 = fieldWeight in 77, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0625 = fieldNorm(doc=77)
      0.2 = coord(3/15)
    
    Abstract
    Die Webometrie ist ein Teilbereich der Informationswissenschaft der zur Zeit auf die Analyse von Linkstrukturen konzentriert ist. Er ist stark von der Zitationsanalyse geprägt, wie der empirische Schwerpunkt auf der Wissenschaftsanalyse zeigt. In diesem Beitrag diskutieren wir die Nutzung linkbasierter Maße in einem breiten informetrischen Kontext und bewerten verschiedene Verfahren, auch im Hinblick auf ihr generelles Potentialfür die Sozialwissenschaften. Dabei wird auch ein allgemeiner Rahmenfür Linkanalysen mit den erforderlichen Arbeitsschritten vorgestellt. Abschließend werden vielversprechende zukünftige Anwendungsfelder der Webometrie benannt, unter besonderer Berücksichtigung der Analyse von Blogs.
    Date
    4.12.2006 12:12:22
    Source
    Information - Wissenschaft und Praxis. 57(2006) H.8, S.401-406
  3. Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007) 0.00
    0.0019664785 = product of:
      0.029497176 = sum of:
        0.029497176 = sum of:
          0.009866543 = weight(_text_:information in 586) [ClassicSimilarity], result of:
            0.009866543 = score(doc=586,freq=8.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.19395474 = fieldWeight in 586, product of:
                2.828427 = tf(freq=8.0), with freq of:
                  8.0 = termFreq=8.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.0390625 = fieldNorm(doc=586)
          0.019630633 = weight(_text_:22 in 586) [ClassicSimilarity], result of:
            0.019630633 = score(doc=586,freq=2.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.19345059 = fieldWeight in 586, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0390625 = fieldNorm(doc=586)
      0.06666667 = coord(1/15)
    
    Abstract
    Although the analysis of citations in the scholarly literature is now an established and relatively well understood part of information science, not enough is known about citations that can be found on the Web. In particular, are there new Web types, and if so, are these trivial or potentially useful for studying or evaluating research communication? We sought evidence based upon a sample of 1,577 Web citations of the URLs or titles of research articles in 64 open-access journals from biology, physics, chemistry, and computing. Only 25% represented intellectual impact, from references of Web documents (23%) and other informal scholarly sources (2%). Many of the Web/URL citations were created for general or subject-specific navigation (45%) or for self-publicity (22%). Additional analyses revealed significant disciplinary differences in the types of Google unique Web/URL citations as well as some characteristics of scientific open-access publishing on the Web. We conclude that the Web provides access to a new and different type of citation information, one that may therefore enable us to measure different aspects of research, and the research process in particular; but to obtain good information, the different types should be separated.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1631-1644
  4. Thelwall, M.; Wouters, P.; Fry, J.: Information-centered research for large-scale analyses of new information sources (2008) 0.00
    5.147861E-4 = product of:
      0.0077217915 = sum of:
        0.0077217915 = product of:
          0.015443583 = sum of:
            0.015443583 = weight(_text_:information in 1969) [ClassicSimilarity], result of:
              0.015443583 = score(doc=1969,freq=10.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.3035872 = fieldWeight in 1969, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=1969)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    New mass publishing genres, such as blogs and personal home pages provide a rich source of social data that is yet to be fully exploited by the social sciences and humanities. Information-centered research (ICR) not only provides a genuinely new and useful information science research model for this type of data, but can also contribute to the emerging e-research infrastructure. Nevertheless, ICR should not be conducted on a purely abstract level, but should relate to potentially relevant problems.
    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.9, S.1523-1527
  5. Thelwall, M.: Webometrics (2009) 0.00
    4.4124527E-4 = product of:
      0.0066186786 = sum of:
        0.0066186786 = product of:
          0.013237357 = sum of:
            0.013237357 = weight(_text_:information in 3906) [ClassicSimilarity], result of:
              0.013237357 = score(doc=3906,freq=10.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.2602176 = fieldWeight in 3906, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3906)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    Webometrics is an information science field concerned with measuring aspects of the World Wide Web (WWW) for a variety of information science research goals. It came into existence about five years after the Web was formed and has since grown to become a significant aspect of information science, at least in terms of published research. Although some webometrics research has focused on the structure or evolution of the Web itself or the performance of commercial search engines, most has used data from the Web to shed light on information provision or online communication in various contexts. Most prominently, techniques have been developed to track, map, and assess Web-based informal scholarly communication, for example, in terms of the hyperlinks between academic Web sites or the online impact of digital repositories. In addition, a range of nonacademic issues and groups of Web users have also been analyzed.
    Source
    Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
  6. Harries, G.; Wilkinson, D.; Price, L.; Fairclough, R.; Thelwall, M.: Hyperlinks as a data source for science mapping : making sense of it all (2005) 0.00
    3.9466174E-4 = product of:
      0.005919926 = sum of:
        0.005919926 = product of:
          0.011839852 = sum of:
            0.011839852 = weight(_text_:information in 4654) [ClassicSimilarity], result of:
              0.011839852 = score(doc=4654,freq=2.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.23274569 = fieldWeight in 4654, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.09375 = fieldNorm(doc=4654)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Source
    Journal of information science. 30(2005) no.5, S.436-
  7. Thelwall, M.; Vaughan, L.: Webometrics : an introduction to the special issue (2004) 0.00
    3.7209064E-4 = product of:
      0.0055813594 = sum of:
        0.0055813594 = product of:
          0.011162719 = sum of:
            0.011162719 = weight(_text_:information in 2908) [ClassicSimilarity], result of:
              0.011162719 = score(doc=2908,freq=4.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.21943474 = fieldWeight in 2908, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0625 = fieldNorm(doc=2908)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    Webometrics, the quantitative study of Web phenomena, is a field encompassing contributions from information science, computer science, and statistical physics. Its methodology draws especially from bibliometrics. This special issue presents contributions that both push for ward the field and illustrate a wide range of webometric approaches.
    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.14, S.1213-1215
  8. Thelwall, M.; Prabowo, R.; Fairclough, R.: Are raw RSS feeds suitable for broad issue scanning? : a science concern case study (2006) 0.00
    3.6770437E-4 = product of:
      0.005515565 = sum of:
        0.005515565 = product of:
          0.01103113 = sum of:
            0.01103113 = weight(_text_:information in 6116) [ClassicSimilarity], result of:
              0.01103113 = score(doc=6116,freq=10.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.21684799 = fieldWeight in 6116, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=6116)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    Broad issue scanning is the task of identifying important public debates arising in a given broad issue; really simple syndication (RSS) feeds are a natural information source for investigating broad issues. RSS, as originally conceived, is a method for publishing timely and concise information on the Internet, for example, about the main stories in a news site or the latest postings in a blog. RSS feeds are potentially a nonintrusive source of high-quality data about public opinion: Monitoring a large number may allow quantitative methods to extract information relevant to a given need. In this article we describe an RSS feed-based coword frequency method to identify bursts of discussion relevant to a given broad issue. A case study of public science concerns is used to demonstrate the method and assess the suitability of raw RSS feeds for broad issue scanning (i.e., without data cleansing). An attempt to identify genuine science concern debates from the corpus through investigating the top 1,000 "burst" words found only two genuine debates, however. The low success rate was mainly caused by a few pathological feeds that dominated the results and obscured any significant debates. The results point to the need to develop effective data cleansing procedures for RSS feeds, particularly if there is not a large quantity of discussion about the broad issue, and a range of potential techniques is suggested. Finally, the analysis confirmed that the time series information generated by real-time monitoring of RSS feeds could usefully illustrate the evolution of new debates relevant to a broad issue.
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.12, S.1644-1654
  9. Thelwall, M.; Binns, R.; Harries, G.; Page-Kennedy, T.; Price, L.; Wilkinson, D.: Custom interfaces for advanced queries in search engines (2001) 0.00
    3.6770437E-4 = product of:
      0.005515565 = sum of:
        0.005515565 = product of:
          0.01103113 = sum of:
            0.01103113 = weight(_text_:information in 697) [ClassicSimilarity], result of:
              0.01103113 = score(doc=697,freq=10.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.21684799 = fieldWeight in 697, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=697)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    Those seeking information from the Internet often start from a search engine, using either its organised directory structure or its text query facility. In response to the difficulty in identifying the most relevant pages for some information needs, many search engines offer Boolean text matching and some, including Google, AltaVista and HotBot, offer the facility to integrate additional information into a more advanced request. Amongst web users, however, it is known that the employment of complex enquiries is far from universal, with very short queries being the norm. It is demonstrated that the gap between the provision of advanced search facilities and their use can be bridged, for specific information needs, by the construction of a simple interface in the form of a website that automatically formulates the necessary requests. It is argued that this kind of resource, perhaps employing additional knowledge domain specific information, is one that could be useful for websites or portals of common interest groups. The approach is illustrated by a website that enables a user to search the individual websites of university level institutions in European Union associated countries.
  10. Thelwall, M.; Wilkinson, D.: Finding similar academic Web sites with links, bibliometric couplings and colinks (2004) 0.00
    3.4178712E-4 = product of:
      0.0051268064 = sum of:
        0.0051268064 = product of:
          0.010253613 = sum of:
            0.010253613 = weight(_text_:information in 2571) [ClassicSimilarity], result of:
              0.010253613 = score(doc=2571,freq=6.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.20156369 = fieldWeight in 2571, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2571)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    A common task in both Webmetrics and Web information retrieval is to identify a set of Web pages or sites that are similar in content. In this paper we assess the extent to which links, colinks and couplings can be used to identify similar Web sites. As an experiment, a random sample of 500 pairs of domains from the UK academic Web were taken and human assessments of site similarity, based upon content type, were compared against ratings for the three concepts. The results show that using a combination of all three gives the highest probability of identifying similar sites, but surprisingly this was only a marginal improvement over using links alone. Another unexpected result was that high values for either colink counts or couplings were associated with only a small increased likelihood of similarity. The principal advantage of using couplings and colinks was found to be greater coverage in terms of a much larger number of pairs of sites being connected by these measures, instead of increased probability of similarity. In information retrieval terminology, this is improved recall rather than improved precision.
    Source
    Information processing and management. 40(2004) no.3, S.515-526
  11. Thelwall, M.; Vann, K.; Fairclough, R.: Web issue analysis : an integrated water resource management case study (2006) 0.00
    3.4178712E-4 = product of:
      0.0051268064 = sum of:
        0.0051268064 = product of:
          0.010253613 = sum of:
            0.010253613 = weight(_text_:information in 5906) [ClassicSimilarity], result of:
              0.010253613 = score(doc=5906,freq=6.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.20156369 = fieldWeight in 5906, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046875 = fieldNorm(doc=5906)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    In this article Web issue analysis is introduced as a new technique to investigate an issue as reflected on the Web. The issue chosen, integrated water resource management (IWRM), is a United Nations-initiated paradigm for managing water resources in an international context, particularly in developing nations. As with many international governmental initiatives, there is a considerable body of online information about it: 41.381 hypertext markup language (HTML) pages and 28.735 PDF documents mentioning the issue were downloaded. A page uniform resource locator (URL) and link analysis revealed the international and sectoral spread of IWRM. A noun and noun phrase occurrence analysis was used to identify the issues most commonly discussed, revealing some unexpected topics such as private sector and economic growth. Although the complexity of the methods required to produce meaningful statistics from the data is disadvantageous to easy interpretation, it was still possible to produce data that could be subject to a reasonably intuitive interpretation. Hence Web issue analysis is claimed to be a useful new technique for information science.
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.10, S.1303-1314
  12. Thelwall, M.; Vaughan, L.: New versions of PageRank employing alternative Web document models (2004) 0.00
    3.4178712E-4 = product of:
      0.0051268064 = sum of:
        0.0051268064 = product of:
          0.010253613 = sum of:
            0.010253613 = weight(_text_:information in 674) [ClassicSimilarity], result of:
              0.010253613 = score(doc=674,freq=6.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.20156369 = fieldWeight in 674, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046875 = fieldNorm(doc=674)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    Introduces several new versions of PageRank (the link based Web page ranking algorithm), based on an information science perspective on the concept of the Web document. Although the Web page is the typical indivisible unit of information in search engine results and most Web information retrieval algorithms, other research has suggested that aggregating pages based on directories and domains gives promising alternatives, particularly when Web links are the object of study. The new algorithms introduced based on these alternatives were used to rank four sets of Web pages. The ranking results were compared with human subjects' rankings. The results of the tests were somewhat inconclusive: the new approach worked well for the set that includes pages from different Web sites; however, it does not work well in ranking pages that are from the same site. It seems that the new algorithms may be effective for some tasks but not for others, especially when only low numbers of links are involved or the pages to be ranked are from the same site or directory.
  13. Kousha, K.; Thelwall, M.: Google book search : citation analysis for social science and the humanities (2009) 0.00
    3.2888478E-4 = product of:
      0.0049332716 = sum of:
        0.0049332716 = product of:
          0.009866543 = sum of:
            0.009866543 = weight(_text_:information in 2946) [ClassicSimilarity], result of:
              0.009866543 = score(doc=2946,freq=8.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.19395474 = fieldWeight in 2946, product of:
                  2.828427 = tf(freq=8.0), with freq of:
                    8.0 = termFreq=8.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2946)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    In both the social sciences and the humanities, books and monographs play significant roles in research communication. The absence of citations from most books and monographs from the Thomson Reuters/Institute for Scientific Information databases (ISI) has been criticized, but attempts to include citations from or to books in the research evaluation of the social sciences and humanities have not led to widespread adoption. This article assesses whether Google Book Search (GBS) can partially fill this gap by comparing citations from books with citations from journal articles to journal articles in 10 science, social science, and humanities disciplines. Book citations were 31% to 212% of ISI citations and, hence, numerous enough to supplement ISI citations in the social sciences and humanities covered, but not in the sciences (3%-5%), except for computing (46%), due to numerous published conference proceedings. A case study was also made of all 1,923 articles in the 51 information science and library science ISI-indexed journals published in 2003. Within this set, highly book-cited articles tended to receive many ISI citations, indicating a significant relationship between the two types of citation data, but with important exceptions that point to the additional information provided by book citations. In summary, GBS is clearly a valuable new source of citation data for the social sciences and humanities. One practical implication is that book-oriented scholars should consult it for additional citations to their work when applying for promotion and tenure.
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.8, S.1537-1549
  14. Thelwall, M.: Bibliometrics to webometrics (2009) 0.00
    3.255793E-4 = product of:
      0.0048836893 = sum of:
        0.0048836893 = product of:
          0.009767379 = sum of:
            0.009767379 = weight(_text_:information in 4239) [ClassicSimilarity], result of:
              0.009767379 = score(doc=4239,freq=4.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.1920054 = fieldWeight in 4239, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=4239)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    Bibliometrics has changed out of all recognition since 1958; becoming established as a field, being taught widely in library and information science schools, and being at the core of a number of science evaluation research groups around the world. This was all made possible by the work of Eugene Garfield and his Science Citation Index. This article reviews the distance that bibliometrics has travelled since 1958 by comparing early bibliometrics with current practice, and by giving an overview of a range of recent developments, such as patent analysis, national research evaluation exercises, visualization techniques, new applications, online citation indexes, and the creation of digital libraries. Webometrics, a modern, fast-growing offshoot of bibliometrics, is reviewed in detail. Finally, future prospects are discussed with regard to both bibliometrics and webometrics.
    Source
    Information science in transition, Ed.: A. Gilchrist
  15. Thelwall, M.; Stuart, D.: Web crawling ethics revisited : cost, privacy, and denial of service (2006) 0.00
    3.255793E-4 = product of:
      0.0048836893 = sum of:
        0.0048836893 = product of:
          0.009767379 = sum of:
            0.009767379 = weight(_text_:information in 6098) [ClassicSimilarity], result of:
              0.009767379 = score(doc=6098,freq=4.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.1920054 = fieldWeight in 6098, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=6098)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    Ethical aspects of the employment of Web crawlers for information science research and other contexts are reviewed. The difference between legal and ethical uses of communications technologies is emphasized as well as the changing boundary between ethical and unethical conduct. A review of the potential impacts on Web site owners is used to underpin a new framework for ethical crawling, and it is argued that delicate human judgment is required for each individual case, with verdicts likely to change over time. Decisions can be based upon an approximate cost-benefit analysis, but it is crucial that crawler owners find out about the technological issues affecting the owners of the sites being crawled in order to produce an informed assessment.
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.13, S.1771-1779
  16. Vaughan, L.; Thelwall, M.: Scholarly use of the Web : what are the key inducers of links to journal Web sites? (2003) 0.00
    2.848226E-4 = product of:
      0.004272339 = sum of:
        0.004272339 = product of:
          0.008544678 = sum of:
            0.008544678 = weight(_text_:information in 1236) [ClassicSimilarity], result of:
              0.008544678 = score(doc=1236,freq=6.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.16796975 = fieldWeight in 1236, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1236)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    Web links have been studied by information scientists for at least six years but it is only in the past two that clear evidence has emerged to show that counts of links to scholarly Web spaces (universities and departments) can correlate significantly with research measures, giving some credence to their use for the investigation of scholarly communication. This paper reports an a study to investigate the factors that influence the creation of links to journal Web sites. An empirical approach is used: collecting data and testing for significant patterns. The specific questions addressed are whether site age and site content are inducers of links to a journal's Web site as measured by the ratio of link counts to Journal Impact Factors, two variables previously discovered to be related. A new methodology for data collection is also introduced that uses the Internet Archive to obtain an earliest known creation date for Web sites. The results show that both site age and site content are significant factors for the disciplines studied: library and information science, and law. Comparisons between the two fields also show disciplinary differences in Web site characteristics. Scholars and publishers should be particularly aware that richer content an a journal's Web site tends to generate links and thus the traffic to the site.
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.1, S.29-38
  17. Barjak, F.; Thelwall, M.: ¬A statistical analysis of the web presences of European life sciences research teams (2008) 0.00
    2.848226E-4 = product of:
      0.004272339 = sum of:
        0.004272339 = product of:
          0.008544678 = sum of:
            0.008544678 = weight(_text_:information in 1383) [ClassicSimilarity], result of:
              0.008544678 = score(doc=1383,freq=6.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.16796975 = fieldWeight in 1383, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1383)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    Web links have been used for around ten years to explore the online impact of academic information and information producers. Nevertheless, few studies have attempted to relate link counts to relevant offline attributes of the owners of the targeted Web sites, with the exception of research productivity. This article reports the results of a study to relate site inlink counts to relevant owner characteristics for over 400 European life-science research group Web sites. The analysis confirmed that research-group size and Web-presence size were important for attracting Web links, although research productivity was not. Little evidence was found for significant influence of any of an array of factors, including research-group leader gender and industry connections. In addition, the choice of search engine for link data created a surprising international difference in the results, with Google perhaps giving unreliable results. Overall, the data collection, statistical analysis and results interpretation were all complex and it seems that we still need to know more about search engines, hyperlinks, and their function in science before we can draw conclusions on their usefulness and role in the canon of science and technology indicators.
    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.4, S.628-643
  18. Vaughan, L.; Thelwall, M.: Search engine coverage bias : evidence and possible causes (2004) 0.00
    2.79068E-4 = product of:
      0.0041860198 = sum of:
        0.0041860198 = product of:
          0.0083720395 = sum of:
            0.0083720395 = weight(_text_:information in 2536) [ClassicSimilarity], result of:
              0.0083720395 = score(doc=2536,freq=4.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.16457605 = fieldWeight in 2536, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2536)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    Commercial search engines are now playing an increasingly important role in Web information dissemination and access. Of particular interest to business and national governments is whether the big engines have coverage biased towards the US or other countries. In our study we tested for national biases in three major search engines and found significant differences in their coverage of commercial Web sites. The US sites were much better covered than the others in the study: sites from China, Taiwan and Singapore. We then examined the possible technical causes of the differences and found that the language of a site does not affect its coverage by search engines. However, the visibility of a site, measured by the number of links to it, affects its chance to be covered by search engines. We conclude that the coverage bias does exist but this is due not to deliberate choices of the search engines but occurs as a natural result of cumulative advantage effects of US sites on the Web. Nevertheless, the bias remains a cause for international concern.
    Source
    Information processing and management. 40(2004) no.4, S.693-708
  19. Thelwall, M.: Extracting macroscopic information from Web links (2001) 0.00
    2.3255666E-4 = product of:
      0.0034883497 = sum of:
        0.0034883497 = product of:
          0.0069766995 = sum of:
            0.0069766995 = weight(_text_:information in 6851) [ClassicSimilarity], result of:
              0.0069766995 = score(doc=6851,freq=4.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.13714671 = fieldWeight in 6851, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=6851)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.13, S.1157-1168
  20. Thelwall, M.; Vaughan, L.; Björneborn, L.: Webometrics (2004) 0.00
    2.3255666E-4 = product of:
      0.0034883497 = sum of:
        0.0034883497 = product of:
          0.0069766995 = sum of:
            0.0069766995 = weight(_text_:information in 4279) [ClassicSimilarity], result of:
              0.0069766995 = score(doc=4279,freq=4.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.13714671 = fieldWeight in 4279, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4279)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    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