Search (116 results, page 1 of 6)

  • × author_ss:"Thelwall, M."
  1. Thelwall, M.: Webometrics (2009) 0.03 
    0.03185539 = product of:
  0.12742156 = sum of:
    0.040864702 = weight(_text_:wide in 3906) [ClassicSimilarity], result of:
      0.040864702 = score(doc=3906,freq=2.0), product of:
        0.13912784 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.031400457 = queryNorm
        0.29372054 = fieldWeight in 3906, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046875 = fieldNorm(doc=3906)
    0.058655847 = weight(_text_:web in 3906) [ClassicSimilarity], result of:
      0.058655847 = score(doc=3906,freq=14.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.57238775 = fieldWeight in 3906, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=3906)
    0.013557088 = product of:
      0.027114175 = sum of:
        0.027114175 = weight(_text_:online in 3906) [ClassicSimilarity], result of:
          0.027114175 = score(doc=3906,freq=4.0), product of:
            0.09529729 = queryWeight, product of:
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.031400457 = queryNorm
            0.284522 = fieldWeight in 3906, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.046875 = fieldNorm(doc=3906)
      0.5 = coord(1/2)
    0.014343925 = weight(_text_:information in 3906) [ClassicSimilarity], result of:
      0.014343925 = score(doc=3906,freq=10.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = 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)
  0.25 = coord(4/16)
    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
  2. Angus, E.; Thelwall, M.; Stuart, D.: General patterns of tag usage among university groups in Flickr (2008) 0.03 
    0.031097353 = product of:
  0.12438941 = sum of:
    0.031352866 = weight(_text_:web in 2554) [ClassicSimilarity], result of:
      0.031352866 = score(doc=2554,freq=4.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.3059541 = fieldWeight in 2554, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=2554)
    0.07001776 = weight(_text_:2.0 in 2554) [ClassicSimilarity], result of:
      0.07001776 = score(doc=2554,freq=2.0), product of:
        0.18211427 = queryWeight, product of:
          5.799733 = idf(docFreq=363, maxDocs=44218)
          0.031400457 = queryNorm
        0.3844716 = fieldWeight in 2554, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.799733 = idf(docFreq=363, maxDocs=44218)
          0.046875 = fieldNorm(doc=2554)
    0.016603975 = product of:
      0.03320795 = sum of:
        0.03320795 = weight(_text_:online in 2554) [ClassicSimilarity], result of:
          0.03320795 = score(doc=2554,freq=6.0), product of:
            0.09529729 = queryWeight, product of:
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.031400457 = queryNorm
            0.34846687 = fieldWeight in 2554, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.046875 = fieldNorm(doc=2554)
      0.5 = coord(1/2)
    0.006414798 = weight(_text_:information in 2554) [ClassicSimilarity], result of:
      0.006414798 = score(doc=2554,freq=2.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.116372846 = fieldWeight in 2554, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=2554)
  0.25 = coord(4/16)
    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.
    Source
    Online information review. 32(2008) no.1, S.89-101
  3. Thelwall, M.: Web indicators for research evaluation : a practical guide (2016) 0.03 
    0.028573865 = product of:
  0.11429546 = sum of:
    0.052254777 = weight(_text_:web in 3384) [ClassicSimilarity], result of:
      0.052254777 = score(doc=3384,freq=16.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.5099235 = fieldWeight in 3384, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3384)
    0.007559912 = weight(_text_:information in 3384) [ClassicSimilarity], result of:
      0.007559912 = score(doc=3384,freq=4.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.13714671 = fieldWeight in 3384, 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=3384)
    0.015872208 = weight(_text_:retrieval in 3384) [ClassicSimilarity], result of:
      0.015872208 = score(doc=3384,freq=2.0), product of:
        0.09498371 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.031400457 = queryNorm
        0.16710453 = fieldWeight in 3384, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3384)
    0.038608566 = weight(_text_:software in 3384) [ClassicSimilarity], result of:
      0.038608566 = score(doc=3384,freq=4.0), product of:
        0.124570385 = queryWeight, product of:
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.031400457 = queryNorm
        0.30993375 = fieldWeight in 3384, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3384)
  0.25 = coord(4/16)
    Abstract
    In recent years there has been an increasing demand for research evaluation within universities and other research-based organisations. In parallel, there has been an increasing recognition that traditional citation-based indicators are not able to reflect the societal impacts of research and are slow to appear. This has led to the creation of new indicators for different types of research impact as well as timelier indicators, mainly derived from the Web. These indicators have been called altmetrics, webometrics or just web metrics. This book describes and evaluates a range of web indicators for aspects of societal or scholarly impact, discusses the theory and practice of using and evaluating web indicators for research assessment and outlines practical strategies for obtaining many web indicators. In addition to describing impact indicators for traditional scholarly outputs, such as journal articles and monographs, it also covers indicators for videos, datasets, software and other non-standard scholarly outputs. The book describes strategies to analyse web indicators for individual publications as well as to compare the impacts of groups of publications. The practical part of the book includes descriptions of how to use the free software Webometric Analyst to gather and analyse web data. This book is written for information science undergraduate and Master?s students that are learning about alternative indicators or scientometrics as well as Ph.D. students and other researchers and practitioners using indicators to help assess research impact or to study scholarly communication.
    Series
    Synthesis lectures on information concepts, retrieval, and services; 52
  4. Thelwall, M.; Harries, G.: Do the Web Sites of Higher Rated Scholars Have Significantly More Online Impact? (2004) 0.03 
    0.028171794 = product of:
  0.11268718 = sum of:
    0.03405392 = weight(_text_:wide in 2123) [ClassicSimilarity], result of:
      0.03405392 = score(doc=2123,freq=2.0), product of:
        0.13912784 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.031400457 = queryNorm
        0.24476713 = fieldWeight in 2123, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2123)
    0.05542456 = weight(_text_:web in 2123) [ClassicSimilarity], result of:
      0.05542456 = score(doc=2123,freq=18.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.5408555 = fieldWeight in 2123, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2123)
    0.017863033 = product of:
      0.035726067 = sum of:
        0.035726067 = weight(_text_:online in 2123) [ClassicSimilarity], result of:
          0.035726067 = score(doc=2123,freq=10.0), product of:
            0.09529729 = queryWeight, product of:
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.031400457 = queryNorm
            0.37489069 = fieldWeight in 2123, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2123)
      0.5 = coord(1/2)
    0.005345665 = weight(_text_:information in 2123) [ClassicSimilarity], result of:
      0.005345665 = score(doc=2123,freq=2.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.09697737 = fieldWeight in 2123, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2123)
  0.25 = coord(4/16)
    Abstract
    The quality and impact of academic Web sites is of interest to many audiences, including the scholars who use them and Web educators who need to identify best practice. Several large-scale European Union research projects have been funded to build new indicators for online scientific activity, reflecting recognition of the importance of the Web for scholarly communication. In this paper we address the key question of whether higher rated scholars produce higher impact Web sites, using the United Kingdom as a case study and measuring scholars' quality in terms of university-wide average research ratings. Methodological issues concerning the measurement of the online impact are discussed, leading to the adoption of counts of links to a university's constituent single domain Web sites from an aggregated counting metric. The findings suggest that universities with higher rated scholars produce significantly more Web content but with a similar average online impact. Higher rated scholars therefore attract more total links from their peers, but only by being more prolific, refuting earlier suggestions. It can be surmised that general Web publications are very different from scholarly journal articles and conference papers, for which scholarly quality does associate with citation impact. This has important implications for the construction of new Web indicators, for example that online impact should not be used to assess the quality of small groups of scholars, even within a single discipline.
    Source
    Journal of the American Society for Information Science and technology. 55(2004) no.2, S.149-159
  5. Thelwall, M.; Vaughan, L.: Webometrics : an introduction to the special issue (2004) 0.02 
    0.018026605 = product of:
  0.0961419 = sum of:
    0.05448627 = weight(_text_:wide in 2908) [ClassicSimilarity], result of:
      0.05448627 = score(doc=2908,freq=2.0), product of:
        0.13912784 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.031400457 = queryNorm
        0.3916274 = fieldWeight in 2908, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0625 = fieldNorm(doc=2908)
    0.029559765 = weight(_text_:web in 2908) [ClassicSimilarity], result of:
      0.029559765 = score(doc=2908,freq=2.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.2884563 = fieldWeight in 2908, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0625 = fieldNorm(doc=2908)
    0.012095859 = weight(_text_:information in 2908) [ClassicSimilarity], result of:
      0.012095859 = score(doc=2908,freq=4.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = 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)
  0.1875 = coord(3/16)
    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
  6. Thelwall, M.; Vaughan, L.: New versions of PageRank employing alternative Web document models (2004) 0.02 
    0.01741184 = product of:
  0.09286314 = sum of:
    0.06270573 = weight(_text_:web in 674) [ClassicSimilarity], result of:
      0.06270573 = score(doc=674,freq=16.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.6119082 = fieldWeight in 674, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=674)
    0.011110757 = weight(_text_:information in 674) [ClassicSimilarity], result of:
      0.011110757 = score(doc=674,freq=6.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = 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)
    0.01904665 = weight(_text_:retrieval in 674) [ClassicSimilarity], result of:
      0.01904665 = score(doc=674,freq=2.0), product of:
        0.09498371 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.031400457 = queryNorm
        0.20052543 = fieldWeight in 674, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.046875 = fieldNorm(doc=674)
  0.1875 = coord(3/16)
    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.
  7. Thelwall, M.; Wilkinson, D.: Finding similar academic Web sites with links, bibliometric couplings and colinks (2004) 0.02 
    0.016428756 = product of:
  0.08762003 = sum of:
    0.04957324 = weight(_text_:web in 2571) [ClassicSimilarity], result of:
      0.04957324 = score(doc=2571,freq=10.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.48375595 = fieldWeight in 2571, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=2571)
    0.011110757 = weight(_text_:information in 2571) [ClassicSimilarity], result of:
      0.011110757 = score(doc=2571,freq=6.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = 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)
    0.02693603 = weight(_text_:retrieval in 2571) [ClassicSimilarity], result of:
      0.02693603 = score(doc=2571,freq=4.0), product of:
        0.09498371 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.031400457 = queryNorm
        0.2835858 = fieldWeight in 2571, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.046875 = fieldNorm(doc=2571)
  0.1875 = coord(3/16)
    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
  8. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment strength detection for the social web (2012) 0.02 
    0.01628771 = product of:
  0.086867794 = sum of:
    0.03405392 = weight(_text_:wide in 4972) [ClassicSimilarity], result of:
      0.03405392 = score(doc=4972,freq=2.0), product of:
        0.13912784 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.031400457 = queryNorm
        0.24476713 = fieldWeight in 4972, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4972)
    0.045253962 = weight(_text_:web in 4972) [ClassicSimilarity], result of:
      0.045253962 = score(doc=4972,freq=12.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.4416067 = fieldWeight in 4972, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4972)
    0.007559912 = weight(_text_:information in 4972) [ClassicSimilarity], result of:
      0.007559912 = score(doc=4972,freq=4.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.13714671 = fieldWeight in 4972, 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=4972)
  0.1875 = coord(3/16)
    Abstract
    Sentiment analysis is concerned with the automatic extraction of sentiment-related information from text. Although most sentiment analysis addresses commercial tasks, such as extracting opinions from product reviews, there is increasing interest in the affective dimension of the social web, and Twitter in particular. Most sentiment analysis algorithms are not ideally suited to this task because they exploit indirect indicators of sentiment that can reflect genre or topic instead. Hence, such algorithms used to process social web texts can identify spurious sentiment patterns caused by topics rather than affective phenomena. This article assesses an improved version of the algorithm SentiStrength for sentiment strength detection across the social web that primarily uses direct indications of sentiment. The results from six diverse social web data sets (MySpace, Twitter, YouTube, Digg, Runners World, BBC Forums) indicate that SentiStrength 2 is successful in the sense of performing better than a baseline approach for all data sets in both supervised and unsupervised cases. SentiStrength is not always better than machine-learning approaches that exploit indirect indicators of sentiment, however, and is particularly weaker for positive sentiment in news-related discussions. Overall, the results suggest that, even unsupervised, SentiStrength is robust enough to be applied to a wide variety of different social web contexts.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.1, S.163-173
  9. Thelwall, M.; Price, L.: Language evolution and the spread of ideas on the Web : a procedure for identifying emergent hybrid word (2006) 0.02 
    0.01606477 = product of:
  0.08567877 = sum of:
    0.040864702 = weight(_text_:wide in 5896) [ClassicSimilarity], result of:
      0.040864702 = score(doc=5896,freq=2.0), product of:
        0.13912784 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.031400457 = queryNorm
        0.29372054 = fieldWeight in 5896, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046875 = fieldNorm(doc=5896)
    0.038399264 = weight(_text_:web in 5896) [ClassicSimilarity], result of:
      0.038399264 = score(doc=5896,freq=6.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.37471575 = fieldWeight in 5896, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=5896)
    0.006414798 = weight(_text_:information in 5896) [ClassicSimilarity], result of:
      0.006414798 = score(doc=5896,freq=2.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.116372846 = fieldWeight in 5896, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=5896)
  0.1875 = coord(3/16)
    Abstract
    Word usage is of interest to linguists for its own sake as well as to social scientists and others who seek to track the spread of ideas, for example, in public debates over political decisions. The historical evolution of language can be analyzed with the tools of corpus linguistics through evolving corpora and the Web. But word usage statistics can only be gathered for known words. In this article, techniques are described and tested for identifying new words from the Web, focusing on the case when the words are related to a topic and have a hybrid form with a common sequence of letters. The results highlight the need to employ a combination of search techniques and show the wide potential of hybrid word family investigations in linguistics and social science.
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.10, S.1326-1337
  10. Thelwall, M.; Li, X.; Barjak, F.; Robinson, S.: Assessing the international web connectivity of research groups (2008) 0.02 
    0.015133239 = product of:
  0.08071061 = sum of:
    0.03405392 = weight(_text_:wide in 1401) [ClassicSimilarity], result of:
      0.03405392 = score(doc=1401,freq=2.0), product of:
        0.13912784 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.031400457 = queryNorm
        0.24476713 = fieldWeight in 1401, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1401)
    0.04131103 = weight(_text_:web in 1401) [ClassicSimilarity], result of:
      0.04131103 = score(doc=1401,freq=10.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.40312994 = fieldWeight in 1401, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1401)
    0.005345665 = weight(_text_:information in 1401) [ClassicSimilarity], result of:
      0.005345665 = score(doc=1401,freq=2.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.09697737 = fieldWeight in 1401, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1401)
  0.1875 = coord(3/16)
    Abstract
    Purpose - The purpose of this paper is to claim that it is useful to assess the web connectivity of research groups, describe hyperlink-based techniques to achieve this and present brief details of European life sciences research groups as a case study. Design/methodology/approach - A commercial search engine was harnessed to deliver hyperlink data via its automatic query submission interface. A special purpose link analysis tool, LexiURL, then summarised and graphed the link data in appropriate ways. Findings - Webometrics can provide a wide range of descriptive information about the international connectivity of research groups. Research limitations/implications - Only one field was analysed, data was taken from only one search engine, and the results were not validated. Practical implications - Web connectivity seems to be particularly important for attracting overseas job applicants and to promote research achievements and capabilities, and hence we contend that it can be useful for national and international governments to use webometrics to ensure that the web is being used effectively by research groups. Originality/value - This is the first paper to make a case for the value of using a range of webometric techniques to evaluate the web presences of research groups within a field, and possibly the first "applied" webometrics study produced for an external contract.
  11. Thelwall, M.; Buckley, K.; Paltoglou, G.; Cai, D.; Kappas, A.: Sentiment strength detection in short informal text (2010) 0.02 
    0.015059561 = product of:
  0.060238242 = sum of:
    0.03405392 = weight(_text_:wide in 4200) [ClassicSimilarity], result of:
      0.03405392 = score(doc=4200,freq=2.0), product of:
        0.13912784 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.031400457 = queryNorm
        0.24476713 = fieldWeight in 4200, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4200)
    0.00798859 = product of:
      0.01597718 = sum of:
        0.01597718 = weight(_text_:online in 4200) [ClassicSimilarity], result of:
          0.01597718 = score(doc=4200,freq=2.0), product of:
            0.09529729 = queryWeight, product of:
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.031400457 = queryNorm
            0.16765618 = fieldWeight in 4200, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4200)
      0.5 = coord(1/2)
    0.007559912 = weight(_text_:information in 4200) [ClassicSimilarity], result of:
      0.007559912 = score(doc=4200,freq=4.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.13714671 = fieldWeight in 4200, 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=4200)
    0.010635821 = product of:
      0.021271642 = sum of:
        0.021271642 = weight(_text_:22 in 4200) [ClassicSimilarity], result of:
          0.021271642 = score(doc=4200,freq=2.0), product of:
            0.10995905 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.031400457 = queryNorm
            0.19345059 = fieldWeight in 4200, 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=4200)
      0.5 = coord(1/2)
  0.25 = coord(4/16)
    Abstract
    A huge number of informal messages are posted every day in social network sites, blogs, and discussion forums. Emotions seem to be frequently important in these texts for expressing friendship, showing social support or as part of online arguments. Algorithms to identify sentiment and sentiment strength are needed to help understand the role of emotion in this informal communication and also to identify inappropriate or anomalous affective utterances, potentially associated with threatening behavior to the self or others. Nevertheless, existing sentiment detection algorithms tend to be commercially oriented, designed to identify opinions about products rather than user behaviors. This article partly fills this gap with a new algorithm, SentiStrength, to extract sentiment strength from informal English text, using new methods to exploit the de facto grammars and spelling styles of cyberspace. Applied to MySpace comments and with a lookup table of term sentiment strengths optimized by machine learning, SentiStrength is able to predict positive emotion with 60.6% accuracy and negative emotion with 72.8% accuracy, both based upon strength scales of 1-5. The former, but not the latter, is better than baseline and a wide range of general machine learning approaches.
    Date
    22. 1.2011 14:29:23
    Footnote
    Vgl. auch das Erratum in: Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.419
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.12, S.2544-2558
  12. Thelwall, M.; Prabowo, R.: Identifying and characterizing public science-related fears from RSS feeds (2007) 0.02 
    0.01500749 = product of:
  0.08003995 = sum of:
    0.040864702 = weight(_text_:wide in 137) [ClassicSimilarity], result of:
      0.040864702 = score(doc=137,freq=2.0), product of:
        0.13912784 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.031400457 = queryNorm
        0.29372054 = fieldWeight in 137, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046875 = fieldNorm(doc=137)
    0.006414798 = weight(_text_:information in 137) [ClassicSimilarity], result of:
      0.006414798 = score(doc=137,freq=2.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.116372846 = fieldWeight in 137, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=137)
    0.032760452 = weight(_text_:software in 137) [ClassicSimilarity], result of:
      0.032760452 = score(doc=137,freq=2.0), product of:
        0.124570385 = queryWeight, product of:
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.031400457 = queryNorm
        0.2629875 = fieldWeight in 137, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.046875 = fieldNorm(doc=137)
  0.1875 = coord(3/16)
    Abstract
    A feature of modern democracies is public mistrust of scientists and the politicization of science policy, e.g., concerning stem cell research and genetically modified food. While the extent of this mistrust is debatable, its political influence is tangible. Hence, science policy researchers and science policy makers need early warning of issues that resonate with a wide public so that they can make timely and informed decisions. In this article, a semi-automatic method for identifying significant public science-related concerns from a corpus of Internet-based RSS (Really Simple Syndication) feeds is described and shown to be an improvement on a previous similar system because of the introduction of feedbased aggregation. In addition, both the RSS corpus and the concept of public science-related fears are deconstructed, revealing hidden complexity. This article also provides evidence that genetically modified organisms and stem cell research were the two major policyrelevant science concern issues, although mobile phone radiation and software security also generated significant interest.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.3, S.379-390
  13. Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007) 0.01 
    0.014953082 = product of:
  0.07974977 = sum of:
    0.058422618 = weight(_text_:web in 586) [ClassicSimilarity], result of:
      0.058422618 = score(doc=586,freq=20.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.5701118 = fieldWeight in 586, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=586)
    0.01069133 = weight(_text_:information in 586) [ClassicSimilarity], result of:
      0.01069133 = score(doc=586,freq=8.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = 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)
    0.010635821 = product of:
      0.021271642 = sum of:
        0.021271642 = weight(_text_:22 in 586) [ClassicSimilarity], result of:
          0.021271642 = score(doc=586,freq=2.0), product of:
            0.10995905 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.031400457 = 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)
  0.1875 = coord(3/16)
    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
  14. Thelwall, M.; Sud, P.: ¬A comparison of methods for collecting web citation data for academic organizations (2011) 0.01 
    0.014117512 = product of:
  0.056470048 = sum of:
    0.018474855 = weight(_text_:web in 4626) [ClassicSimilarity], result of:
      0.018474855 = score(doc=4626,freq=2.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.18028519 = fieldWeight in 4626, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4626)
    0.00798859 = product of:
      0.01597718 = sum of:
        0.01597718 = weight(_text_:online in 4626) [ClassicSimilarity], result of:
          0.01597718 = score(doc=4626,freq=2.0), product of:
            0.09529729 = queryWeight, product of:
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.031400457 = queryNorm
            0.16765618 = fieldWeight in 4626, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4626)
      0.5 = coord(1/2)
    0.007559912 = weight(_text_:information in 4626) [ClassicSimilarity], result of:
      0.007559912 = score(doc=4626,freq=4.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.13714671 = fieldWeight in 4626, 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=4626)
    0.022446692 = weight(_text_:retrieval in 4626) [ClassicSimilarity], result of:
      0.022446692 = score(doc=4626,freq=4.0), product of:
        0.09498371 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.031400457 = queryNorm
        0.23632148 = fieldWeight in 4626, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4626)
  0.25 = coord(4/16)
    Abstract
    The primary webometric method for estimating the online impact of an organization is to count links to its website. Link counts have been available from commercial search engines for over a decade but this was set to end by early 2012 and so a replacement is needed. This article compares link counts to two alternative methods: URL citations and organization title mentions. New variations of these methods are also introduced. The three methods are compared against each other using Yahoo!. Two of the three methods (URL citations and organization title mentions) are also compared against each other using Bing. Evidence from a case study of 131 UK universities and 49 US Library and Information Science (LIS) departments suggests that Bing's Hit Count Estimates (HCEs) for popular title searches are not useful for webometric research but that Yahoo!'s HCEs for all three types of search and Bing's URL citation HCEs seem to be consistent. For exact URL counts the results of all three methods in Yahoo! and both methods in Bing are also consistent. Four types of accuracy factors are also introduced and defined: search engine coverage, search engine retrieval variation, search engine retrieval anomalies, and query polysemy.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.8, S.1488-1497
  15. Thelwall, M.: ¬A layered approach for investigating the topological structure of communities in the Web (2003) 0.01 
    0.014111356 = product of:
  0.075260565 = sum of:
    0.045253962 = weight(_text_:web in 4450) [ClassicSimilarity], result of:
      0.045253962 = score(doc=4450,freq=12.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.4416067 = fieldWeight in 4450, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4450)
    0.007559912 = weight(_text_:information in 4450) [ClassicSimilarity], result of:
      0.007559912 = score(doc=4450,freq=4.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.13714671 = fieldWeight in 4450, 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=4450)
    0.022446692 = weight(_text_:retrieval in 4450) [ClassicSimilarity], result of:
      0.022446692 = score(doc=4450,freq=4.0), product of:
        0.09498371 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.031400457 = queryNorm
        0.23632148 = fieldWeight in 4450, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4450)
  0.1875 = coord(3/16)
    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.
  16. Kousha, K.; Thelwall, M.: Google Scholar citations and Google Web/URL citations : a multi-discipline exploratory analysis (2007) 0.01 
    0.014074849 = product of:
  0.07506586 = sum of:
    0.058422618 = weight(_text_:web in 337) [ClassicSimilarity], result of:
      0.058422618 = score(doc=337,freq=20.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.5701118 = fieldWeight in 337, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=337)
    0.011297573 = product of:
      0.022595147 = sum of:
        0.022595147 = weight(_text_:online in 337) [ClassicSimilarity], result of:
          0.022595147 = score(doc=337,freq=4.0), product of:
            0.09529729 = queryWeight, product of:
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.031400457 = queryNorm
            0.23710167 = fieldWeight in 337, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.0390625 = fieldNorm(doc=337)
      0.5 = coord(1/2)
    0.005345665 = weight(_text_:information in 337) [ClassicSimilarity], result of:
      0.005345665 = score(doc=337,freq=2.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.09697737 = fieldWeight in 337, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=337)
  0.1875 = coord(3/16)
    Abstract
    We use a new data gathering method, "Web/URL citation," Web/URL and Google Scholar to compare traditional and Web-based citation patterns across multiple disciplines (biology, chemistry, physics, computing, sociology, economics, psychology, and education) based upon a sample of 1,650 articles from 108 open access (OA) journals published in 2001. A Web/URL citation of an online journal article is a Web mention of its title, URL, or both. For each discipline, except psychology, we found significant correlations between Thomson Scientific (formerly Thomson ISI, here: ISI) citations and both Google Scholar and Google Web/URL citations. Google Scholar citations correlated more highly with ISI citations than did Google Web/URL citations, indicating that the Web/URL method measures a broader type of citation phenomenon. Google Scholar citations were more numerous than ISI citations in computer science and the four social science disciplines, suggesting that Google Scholar is more comprehensive for social sciences and perhaps also when conference articles are valued and published online. We also found large disciplinary differences in the percentage overlap between ISI and Google Scholar citation sources. Finally, although we found many significant trends, there were also numerous exceptions, suggesting that replacing traditional citation sources with the Web or Google Scholar for research impact calculations would be problematic.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.7, S.1055-1065
  17. Thelwall, M.: Can Google's PageRank be used to find the most important academic Web pages? (2003) 0.01 
    0.014069004 = product of:
  0.075034685 = sum of:
    0.04957324 = weight(_text_:web in 4457) [ClassicSimilarity], result of:
      0.04957324 = score(doc=4457,freq=10.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.48375595 = fieldWeight in 4457, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=4457)
    0.006414798 = weight(_text_:information in 4457) [ClassicSimilarity], result of:
      0.006414798 = score(doc=4457,freq=2.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.116372846 = fieldWeight in 4457, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=4457)
    0.01904665 = weight(_text_:retrieval in 4457) [ClassicSimilarity], result of:
      0.01904665 = score(doc=4457,freq=2.0), product of:
        0.09498371 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.031400457 = queryNorm
        0.20052543 = fieldWeight in 4457, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.046875 = fieldNorm(doc=4457)
  0.1875 = coord(3/16)
    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.
  18. Shifman, L.; Thelwall, M.: Assessing global diffusion with Web memetics : the spread and evolution of a popular joke (2009) 0.01 
    0.013039712 = product of:
  0.06954513 = sum of:
    0.04957324 = weight(_text_:web in 3303) [ClassicSimilarity], result of:
      0.04957324 = score(doc=3303,freq=10.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.48375595 = fieldWeight in 3303, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=3303)
    0.013557088 = product of:
      0.027114175 = sum of:
        0.027114175 = weight(_text_:online in 3303) [ClassicSimilarity], result of:
          0.027114175 = score(doc=3303,freq=4.0), product of:
            0.09529729 = queryWeight, product of:
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.031400457 = queryNorm
            0.284522 = fieldWeight in 3303, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.046875 = fieldNorm(doc=3303)
      0.5 = coord(1/2)
    0.006414798 = weight(_text_:information in 3303) [ClassicSimilarity], result of:
      0.006414798 = score(doc=3303,freq=2.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.116372846 = fieldWeight in 3303, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=3303)
  0.1875 = coord(3/16)
    Abstract
    Memes are small units of culture, analogous to genes, which flow from person to person by copying or imitation. More than any previous medium, the Internet has the technical capabilities for global meme diffusion. Yet, to spread globally, memes need to negotiate their way through cultural and linguistic borders. This article introduces a new broad method, Web memetics, comprising extensive Web searches and combined quantitative and qualitative analyses, to identify and assess: (a) the different versions of a meme, (b) its evolution online, and (c) its Web presence and translation into common Internet languages. This method is demonstrated through one extensively circulated joke about men, women, and computers. The results show that the joke has mutated into several different versions and is widely translated, and that translations incorporate small, local adaptations while retaining the English versions' fundamental components. In conclusion, Web memetics has demonstrated its ability to identify and track the evolution and spread of memes online, with interesting results, albeit for only one case study.
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.12, S.2567-2576
  19. Thelwall, M.; Klitkou, A.; Verbeek, A.; Stuart, D.; Vincent, C.: Policy-relevant Webometrics for individual scientific fields (2010) 0.01 
    0.0130217485 = product of:
  0.06944933 = sum of:
    0.040864702 = weight(_text_:wide in 3574) [ClassicSimilarity], result of:
      0.040864702 = score(doc=3574,freq=2.0), product of:
        0.13912784 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.031400457 = queryNorm
        0.29372054 = fieldWeight in 3574, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046875 = fieldNorm(doc=3574)
    0.022169823 = weight(_text_:web in 3574) [ClassicSimilarity], result of:
      0.022169823 = score(doc=3574,freq=2.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.21634221 = fieldWeight in 3574, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=3574)
    0.006414798 = weight(_text_:information in 3574) [ClassicSimilarity], result of:
      0.006414798 = score(doc=3574,freq=2.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.116372846 = fieldWeight in 3574, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=3574)
  0.1875 = coord(3/16)
    Abstract
    Despite over 10 years of research there is no agreement on the most suitable roles for Webometric indicators in support of research policy and almost no field-based Webometrics. This article partly fills these gaps by analyzing the potential of policy-relevant Webometrics for individual scientific fields with the help of 4 case studies. Although Webometrics cannot provide robust indicators of knowledge flows or research impact, it can provide some evidence of networking and mutual awareness. The scope of Webometrics is also relatively wide, including not only research organizations and firms but also intermediary groups like professional associations, Web portals, and government agencies. Webometrics can, therefore, provide evidence about the research process to compliment peer review, bibliometric, and patent indicators: tracking the early, mainly prepublication development of new fields and research funding initiatives, assessing the role and impact of intermediary organizations and the need for new ones, and monitoring the extent of mutual awareness in particular research areas.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1464-1475
  20. Thelwall, M.: Assessing web search engines : a webometric approach (2011) 0.01 
    0.012630148 = product of:
  0.06736079 = sum of:
    0.031352866 = weight(_text_:web in 10) [ClassicSimilarity], result of:
      0.031352866 = score(doc=10,freq=4.0), product of:
        0.10247572 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031400457 = queryNorm
        0.3059541 = fieldWeight in 10, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=10)
    0.009071894 = weight(_text_:information in 10) [ClassicSimilarity], result of:
      0.009071894 = score(doc=10,freq=4.0), product of:
        0.055122808 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.031400457 = queryNorm
        0.16457605 = fieldWeight in 10, 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=10)
    0.02693603 = weight(_text_:retrieval in 10) [ClassicSimilarity], result of:
      0.02693603 = score(doc=10,freq=4.0), product of:
        0.09498371 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.031400457 = queryNorm
        0.2835858 = fieldWeight in 10, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.046875 = fieldNorm(doc=10)
  0.1875 = coord(3/16)
    Abstract
    Information Retrieval (IR) research typically evaluates search systems in terms of the standard precision, recall and F-measures to weight the relative importance of precision and recall (e.g. van Rijsbergen, 1979). All of these assess the extent to which the system returns good matches for a query. In contrast, webometric measures are designed specifically for web search engines and are designed to monitor changes in results over time and various aspects of the internal logic of the way in which search engine select the results to be returned. This chapter introduces a range of webometric measurements and illustrates them with case studies of Google, Bing and Yahoo! This is a very fertile area for simple and complex new investigations into search engine results.
    Source
    Innovations in information retrieval: perspectives for theory and practice. Eds.: A. Foster, u. P. Rafferty

Authors

Years

Languages

  • e 115
  • d 1
  • More… Less…

Types

  • a 115
  • m 1
  • More… Less…

Themes

Subjects

Classifications