Search (49 results, page 1 of 3)

  • × author_ss:"Thelwall, M."
  • × type_ss:"a"
  • × year_i:[2000 TO 2010}
  1. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.03 
    0.025371963 = product of:
  0.10148785 = sum of:
    0.021653436 = weight(_text_:und in 77) [ClassicSimilarity], result of:
      0.021653436 = score(doc=77,freq=6.0), product of:
        0.06381599 = queryWeight, product of:
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.02879306 = 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)
    0.035917282 = weight(_text_:der in 77) [ClassicSimilarity], result of:
      0.035917282 = score(doc=77,freq=16.0), product of:
        0.06431698 = queryWeight, product of:
          2.2337668 = idf(docFreq=12875, maxDocs=44218)
          0.02879306 = queryNorm
        0.5584417 = fieldWeight in 77, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          2.2337668 = idf(docFreq=12875, maxDocs=44218)
          0.0625 = fieldNorm(doc=77)
    0.021653436 = weight(_text_:und in 77) [ClassicSimilarity], result of:
      0.021653436 = score(doc=77,freq=6.0), product of:
        0.06381599 = queryWeight, product of:
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.02879306 = 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)
    0.006659447 = weight(_text_:in in 77) [ClassicSimilarity], result of:
      0.006659447 = score(doc=77,freq=4.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.17003182 = fieldWeight in 77, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0625 = fieldNorm(doc=77)
    0.015604248 = product of:
      0.031208497 = sum of:
        0.031208497 = weight(_text_:22 in 77) [ClassicSimilarity], result of:
          0.031208497 = score(doc=77,freq=2.0), product of:
            0.10082839 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.02879306 = 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)
      0.5 = coord(1/2)
  0.25 = coord(5/20)
    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
  2. Levitt, J.M.; Thelwall, M.: Citation levels and collaboration within library and information science (2009) 0.00 
    0.00226216 = product of:
  0.022621598 = sum of:
    0.008829262 = weight(_text_:in in 2734) [ClassicSimilarity], result of:
      0.008829262 = score(doc=2734,freq=18.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.22543246 = fieldWeight in 2734, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2734)
    0.013792337 = product of:
      0.027584674 = sum of:
        0.027584674 = weight(_text_:22 in 2734) [ClassicSimilarity], result of:
          0.027584674 = score(doc=2734,freq=4.0), product of:
            0.10082839 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.02879306 = 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)
      0.5 = coord(1/2)
  0.1 = coord(2/20)
    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
  3. Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007) 0.00 
    0.0016333599 = product of:
  0.016333599 = sum of:
    0.006580944 = weight(_text_:in in 586) [ClassicSimilarity], result of:
      0.006580944 = score(doc=586,freq=10.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.16802745 = fieldWeight in 586, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=586)
    0.009752655 = product of:
      0.01950531 = sum of:
        0.01950531 = weight(_text_:22 in 586) [ClassicSimilarity], result of:
          0.01950531 = score(doc=586,freq=2.0), product of:
            0.10082839 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.02879306 = 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)
      0.5 = coord(1/2)
  0.1 = coord(2/20)
    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.
  4. Thelwall, M.; Wouters, P.; Fry, J.: Information-centered research for large-scale analyses of new information sources (2008) 0.00 
    0.0015727114 = product of:
  0.031454228 = sum of:
    0.031454228 = product of:
      0.062908456 = sum of:
        0.062908456 = weight(_text_:kommunikationswissenschaften in 1969) [ClassicSimilarity], result of:
          0.062908456 = score(doc=1969,freq=2.0), product of:
            0.15303716 = queryWeight, product of:
              5.315071 = idf(docFreq=590, maxDocs=44218)
              0.02879306 = queryNorm
            0.41106653 = fieldWeight in 1969, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.315071 = idf(docFreq=590, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1969)
      0.5 = coord(1/2)
  0.05 = coord(1/20)
    Field
    Kommunikationswissenschaften
  5. Levitt, J.M.; Thelwall, M.: Is multidisciplinary research more highly cited? : a macrolevel study (2008) 0.00 
    5.5060134E-4 = product of:
  0.011012026 = sum of:
    0.011012026 = weight(_text_:in in 2375) [ClassicSimilarity], result of:
      0.011012026 = score(doc=2375,freq=28.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.2811637 = fieldWeight in 2375, product of:
          5.2915025 = tf(freq=28.0), with freq of:
            28.0 = termFreq=28.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2375)
  0.05 = coord(1/20)
    Abstract
    Interdisciplinary collaboration is a major goal in research policy. This study uses citation analysis to examine diverse subjects in the Web of Science and Scopus to ascertain whether, in general, research published in journals classified in more than one subject is more highly cited than research published in journals classified in a single subject. For each subject, the study divides the journals into two disjoint sets called Multi and Mono. Multi consists of all journals in the subject and at least one other subject whereas Mono consists of all journals in the subject and in no other subject. The main findings are: (a) For social science subject categories in both the Web of Science and Scopus, the average citation levels of articles in Mono and Multi are very similar; and (b) for Scopus subject categories within life sciences, health sciences, and physical sciences, the average citation level of Mono articles is roughly twice that of Multi articles. Hence, one cannot assume that in general, multidisciplinary research will be more highly cited, and the converse is probably true for many areas of science. A policy implication is that, at least in the sciences, multidisciplinary researchers should not be evaluated by citations on the same basis as monodisciplinary researchers.
  6. Kousha, K.; Thelwall, M.: Assessing the impact of disciplinary research on teaching : an automatic analysis of online syllabuses (2008) 0.00 
    4.6534307E-4 = product of:
  0.009306861 = sum of:
    0.009306861 = weight(_text_:in in 2383) [ClassicSimilarity], result of:
      0.009306861 = score(doc=2383,freq=20.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.2376267 = fieldWeight in 2383, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2383)
  0.05 = coord(1/20)
    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.
  7. Thelwall, M.: Directing students to new information types : a new role for Google in literature searches? (2005) 0.00 
    4.606661E-4 = product of:
  0.009213322 = sum of:
    0.009213322 = weight(_text_:in in 364) [ClassicSimilarity], result of:
      0.009213322 = score(doc=364,freq=10.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.23523843 = fieldWeight in 364, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0546875 = fieldNorm(doc=364)
  0.05 = coord(1/20)
    Abstract
    Conducting a literature review is an important activity for postgraduates and many undergraduates. Librarians can play an important role, directing students to digital libraries, compiling online subject reSource lists, and educating about the need to evaluate the quality of online resources. In order to conduct an effective literature search in a new area, however, in some subjects it is necessary to gain basic topic knowledge, including specialist vocabularies. Google's link-based page ranking algorithm makes this search engine an ideal tool for finding specialist topic introductory material, particularly in computer science, and so librarians should be teaching this as part of a strategic literature review approach.
  8. Kousha, K.; Thelwall, M.: Google book search : citation analysis for social science and the humanities (2009) 0.00 
    4.414631E-4 = product of:
  0.008829262 = sum of:
    0.008829262 = weight(_text_:in in 2946) [ClassicSimilarity], result of:
      0.008829262 = score(doc=2946,freq=18.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.22543246 = fieldWeight in 2946, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2946)
  0.05 = coord(1/20)
    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.
  9. Thelwall, M.: Can Google's PageRank be used to find the most important academic Web pages? (2003) 0.00 
    4.3254378E-4 = product of:
  0.008650876 = sum of:
    0.008650876 = weight(_text_:in in 4457) [ClassicSimilarity], result of:
      0.008650876 = score(doc=4457,freq=12.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.22087781 = fieldWeight in 4457, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=4457)
  0.05 = coord(1/20)
    Abstract
    Google's PageRank is an influential algorithm that uses a model of Web use that is dominated by its link structure in order to rank pages by their estimated value to the Web community. This paper reports on the outcome of applying the algorithm to the Web sites of three national university systems in order to test whether it is capable of identifying the most important Web pages. The results are also compared with simple inlink counts. It was discovered that the highest inlinked pages do not always have the highest PageRank, indicating that the two metrics are genuinely different, even for the top pages. More significantly, however, internal links dominated external links for the high ranks in either method and superficial reasons accounted for high scores in both cases. It is concluded that PageRank is not useful for identifying the top pages in a site and that it must be combined with a powerful text matching techniques in order to get the quality of information retrieval results provided by Google.
  10. Thelwall, M.: ¬A layered approach for investigating the topological structure of communities in the Web (2003) 0.00 
    4.1621542E-4 = product of:
  0.008324308 = sum of:
    0.008324308 = weight(_text_:in in 4450) [ClassicSimilarity], result of:
      0.008324308 = score(doc=4450,freq=16.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.21253976 = fieldWeight in 4450, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4450)
  0.05 = coord(1/20)
    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.
  11. Thelwall, M.; Kousha, K.: Online presentations as a source of scientific impact? : an analysis of PowerPoint files citing academic journals (2008) 0.00 
    4.1621542E-4 = product of:
  0.008324308 = sum of:
    0.008324308 = weight(_text_:in in 1614) [ClassicSimilarity], result of:
      0.008324308 = score(doc=1614,freq=16.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.21253976 = fieldWeight in 1614, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1614)
  0.05 = coord(1/20)
    Abstract
    Open-access online publication has made available an increasingly wide range of document types for scientometric analysis. In this article, we focus on citations in online presentations, seeking evidence of their value as nontraditional indicators of research impact. For this purpose, we searched for online PowerPoint files mentioning any one of 1,807 ISI-indexed journals in ten science and ten social science disciplines. We also manually classified 1,378 online PowerPoint citations to journals in eight additional science and social science disciplines. The results showed that very few journals were cited frequently enough in online PowerPoint files to make impact assessment worthwhile, with the main exceptions being popular magazines like Scientific American and Harvard Business Review. Surprisingly, however, there was little difference overall in the number of PowerPoint citations to science and to the social sciences, and also in the proportion representing traditional impact (about 60%) and wider impact (about 15%). It seems that the main scientometric value for online presentations may be in tracking the popularization of research, or for comparing the impact of whole journals rather than individual articles.
  12. Thelwall, M.: Social networks, gender, and friending : an analysis of MySpace member profiles (2008) 0.00 
    4.1621542E-4 = product of:
  0.008324308 = sum of:
    0.008324308 = weight(_text_:in in 1883) [ClassicSimilarity], result of:
      0.008324308 = score(doc=1883,freq=16.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.21253976 = fieldWeight in 1883, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1883)
  0.05 = coord(1/20)
    Abstract
    In 2007, the social networking Web site MySpace apparently overthrew Google as the most visited Web site for U.S. Web users. If this heralds a new era of widespread online social networking, then it is important to investigate user behaviour and attributes. Although there has been some research into social networking already, basic demographic data is essential to set previous results in a wider context and to give insights to researchers, marketers and developers. In this article, the demographics of MySpace members are explored through data extracted from two samples of 15,043 and 7,627 member profiles. The median declared age of users was surprisingly high at 21, with a small majority of females. The analysis confirmed some previously reported findings and conjectures about social networking, for example, that female members tend to be more interested in friendship and males more interested in dating. In addition, there was some evidence of three different friending dynamics, oriented towards close friends, acquaintances, or strangers. Perhaps unsurprisingly, female and younger members had more friends than others, and females were more likely to maintain private profiles, but both males and females seemed to prefer female friends, with this tendency more marked in females for their closest friend. The typical MySpace user is apparently female, 21, single, with a public profile, interested in online friendship and logging on weekly to engage with a mixed list of mainly female friends who are predominantly acquaintances.
  13. Vaughan, L.; Thelwall, M.: Search engine coverage bias : evidence and possible causes (2004) 0.00 
    3.9485664E-4 = product of:
  0.007897133 = sum of:
    0.007897133 = weight(_text_:in in 2536) [ClassicSimilarity], result of:
      0.007897133 = score(doc=2536,freq=10.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.20163295 = fieldWeight in 2536, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=2536)
  0.05 = coord(1/20)
    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.
  14. Thelwall, M.; Wilkinson, D.: Finding similar academic Web sites with links, bibliometric couplings and colinks (2004) 0.00 
    3.9485664E-4 = product of:
  0.007897133 = sum of:
    0.007897133 = weight(_text_:in in 2571) [ClassicSimilarity], result of:
      0.007897133 = score(doc=2571,freq=10.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.20163295 = fieldWeight in 2571, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=2571)
  0.05 = coord(1/20)
    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.
  15. Angus, E.; Thelwall, M.; Stuart, D.: General patterns of tag usage among university groups in Flickr (2008) 0.00 
    3.9485664E-4 = product of:
  0.007897133 = sum of:
    0.007897133 = weight(_text_:in in 2554) [ClassicSimilarity], result of:
      0.007897133 = score(doc=2554,freq=10.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.20163295 = fieldWeight in 2554, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=2554)
  0.05 = coord(1/20)
    Abstract
    Purpose - The purpose of this research is to investigate general patterns of tag usage and determines the usefulness of the tags used within university image groups to the wider Flickr community. There has been a significant rise in the use of Web 2.0 social network web sites and online applications in recent years. One of the most popular is Flickr, an online image management application. Design/methodology/approach - This study uses a webometric data collection, classification and informetric analysis. Findings - The results show that members of university image groups tend to tag in a manner that is of use to users of the system as a whole rather than merely for the tag creator. Originality/value - This paper gives a valuable insight into the tagging practices of image groups in Flickr.
  16. Thelwall, M.; Wilkinson, D.; Uppal, S.: Data mining emotion in social network communication : gender differences in MySpace (2009) 0.00 
    3.9485664E-4 = product of:
  0.007897133 = sum of:
    0.007897133 = weight(_text_:in in 3322) [ClassicSimilarity], result of:
      0.007897133 = score(doc=3322,freq=10.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.20163295 = fieldWeight in 3322, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=3322)
  0.05 = coord(1/20)
    Abstract
    Despite the rapid growth in social network sites and in data mining for emotion (sentiment analysis), little research has tied the two together, and none has had social science goals. This article examines the extent to which emotion is present in MySpace comments, using a combination of data mining and content analysis, and exploring age and gender. A random sample of 819 public comments to or from U.S. users was manually classified for strength of positive and negative emotion. Two thirds of the comments expressed positive emotion, but a minority (20%) contained negative emotion, confirming that MySpace is an extraordinarily emotion-rich environment. Females are likely to give and receive more positive comments than are males, but there is no difference for negative comments. It is thus possible that females are more successful social network site users partly because of their greater ability to textually harness positive affect.
  17. Thelwall, M.: Quantitative comparisons of search engine results (2008) 0.00 
    3.6045312E-4 = product of:
  0.0072090626 = sum of:
    0.0072090626 = weight(_text_:in in 2350) [ClassicSimilarity], result of:
      0.0072090626 = score(doc=2350,freq=12.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.18406484 = fieldWeight in 2350, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2350)
  0.05 = coord(1/20)
    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.
  18. Price, L.; Thelwall, M.: ¬The clustering power of low frequency words in academic webs (2005) 0.00 
    3.5683042E-4 = product of:
  0.0071366085 = sum of:
    0.0071366085 = weight(_text_:in in 3561) [ClassicSimilarity], result of:
      0.0071366085 = score(doc=3561,freq=6.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.1822149 = fieldWeight in 3561, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3561)
  0.05 = coord(1/20)
    Abstract
    The value of low frequency words for subject-based academic Web site clustering is assessed. A new technique is introduced to compare the relative clustering power of different vocabularies. The technique is designed for word frequency tests in large document clustering exercises. Results for the Australian and New Zealand academic Web spaces indicate that low frequency words are useful for clustering academic Web sites along subject lines; removing low frequency words results in sites becoming, an average, less dissimilar to sites from other subjects.
  19. Thelwall, M.: Bibliometrics to webometrics (2009) 0.00 
    3.5683042E-4 = product of:
  0.0071366085 = sum of:
    0.0071366085 = weight(_text_:in in 4239) [ClassicSimilarity], result of:
      0.0071366085 = score(doc=4239,freq=6.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.1822149 = fieldWeight in 4239, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4239)
  0.05 = coord(1/20)
    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
  20. Thelwall, M.; Wilkinson, D.: Graph structure in three national academic Webs : power laws with anomalies (2003) 0.00 
    3.531705E-4 = product of:
  0.00706341 = sum of:
    0.00706341 = weight(_text_:in in 1681) [ClassicSimilarity], result of:
      0.00706341 = score(doc=1681,freq=8.0), product of:
        0.039165888 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02879306 = queryNorm
        0.18034597 = fieldWeight in 1681, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=1681)
  0.05 = coord(1/20)
    Abstract
    The graph structures of three national university publicly indexable Webs from Australia, New Zealand, and the UK were analyzed. Strong scale-free regularities for page indegrees, outdegrees, and connected component sizes were in evidence, resulting in power laws similar to those previously identified for individual university Web sites and for the AItaVista-indexed Web. Anomalies were also discovered in most distributions and were tracked down to root causes. As a result, resource driven Web sites and automatically generated pages were identified as representing a significant break from the assumptions of previous power law models. It follows that attempts to track average Web linking behavior would benefit from using techniques to minimize or eliminate the impact of such anomalies.

Authors

Languages

  • e 48
  • d 1
  • More… Less…

Themes