Search (87 results, page 1 of 5)

0.15379675 = product of:
  0.19224593 = sum of:
    0.092019245 = weight(_text_:section in 2761) [ClassicSimilarity], result of:
      0.092019245 = score(doc=2761,freq=2.0), product of:
        0.26305357 = queryWeight, product of:
          5.276892 = idf(docFreq=613, maxDocs=44218)
          0.049850095 = queryNorm
        0.34981182 = fieldWeight in 2761, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.276892 = idf(docFreq=613, maxDocs=44218)
          0.046875 = fieldNorm(doc=2761)
    0.015985882 = weight(_text_:on in 2761) [ClassicSimilarity], result of:
      0.015985882 = score(doc=2761,freq=2.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.14580199 = fieldWeight in 2761, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=2761)
    0.0144021725 = weight(_text_:information in 2761) [ClassicSimilarity], result of:
      0.0144021725 = score(doc=2761,freq=4.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.16457605 = fieldWeight in 2761, 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=2761)
    0.06983863 = sum of:
      0.029314637 = weight(_text_:technology in 2761) [ClassicSimilarity], result of:
        0.029314637 = score(doc=2761,freq=2.0), product of:
          0.14847288 = queryWeight, product of:
            2.978387 = idf(docFreq=6114, maxDocs=44218)
            0.049850095 = queryNorm
          0.19744103 = fieldWeight in 2761, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            2.978387 = idf(docFreq=6114, maxDocs=44218)
            0.046875 = fieldNorm(doc=2761)
      0.040523995 = weight(_text_:22 in 2761) [ClassicSimilarity], result of:
        0.040523995 = score(doc=2761,freq=2.0), product of:
          0.17456654 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.049850095 = queryNorm
          0.23214069 = fieldWeight in 2761, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=2761)
  0.8 = coord(4/5)

Abstract

International co-authorship relations and university-industry-government (Triple Helix) relations have hitherto been studied separately. Using Japanese publication data for the 1981-2004 period, we were able to study both kinds of relations in a single design. In the Japanese file, 1,277,030 articles with at least one Japanese address were attributed to the three sectors, and we know additionally whether these papers were coauthored internationally. Using the mutual information in three and four dimensions, respectively, we show that the Japanese Triple-Helix system has been continuously eroded at the national level. However, since the mid-1990s, international coauthorship relations have contributed to a reduction of the uncertainty at the national level. In other words, the national publication system of Japan has developed a capacity to retain surplus value generated internationally. In a final section, we compare these results with an analysis based on similar data for Canada. A relative uncoupling of national university-industry-government relations because of international collaborations is indicated in both countries.

Date

22. 3.2009 19:07:20

Source

Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.778-788

0.11494895 = product of:
  0.14368619 = sum of:
    0.092019245 = weight(_text_:section in 3580) [ClassicSimilarity], result of:
      0.092019245 = score(doc=3580,freq=2.0), product of:
        0.26305357 = queryWeight, product of:
          5.276892 = idf(docFreq=613, maxDocs=44218)
          0.049850095 = queryNorm
        0.34981182 = fieldWeight in 3580, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.276892 = idf(docFreq=613, maxDocs=44218)
          0.046875 = fieldNorm(doc=3580)
    0.022607451 = weight(_text_:on in 3580) [ClassicSimilarity], result of:
      0.022607451 = score(doc=3580,freq=4.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.20619515 = fieldWeight in 3580, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=3580)
    0.0144021725 = weight(_text_:information in 3580) [ClassicSimilarity], result of:
      0.0144021725 = score(doc=3580,freq=4.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.16457605 = fieldWeight in 3580, 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=3580)
    0.014657319 = product of:
      0.029314637 = sum of:
        0.029314637 = weight(_text_:technology in 3580) [ClassicSimilarity], result of:
          0.029314637 = score(doc=3580,freq=2.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.19744103 = fieldWeight in 3580, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.046875 = fieldNorm(doc=3580)
      0.5 = coord(1/2)
  0.8 = coord(4/5)

Abstract

We argue that the communication structures in the Chinese social sciences have not yet been sufficiently reformed. Citation patterns among Chinese domestic journals in three subject areas - political science and Marxism, library and information science, and economics - are compared with their counterparts internationally. Like their colleagues in the natural and life sciences, Chinese scholars in the social sciences provide fewer references to journal publications than their international counterparts; like their international colleagues, social scientists provide fewer references than natural sciences. The resulting citation networks, therefore, are sparse. Nevertheless, the citation structures clearly suggest that the Chinese social sciences are far less specialized in terms of disciplinary delineations than their international counterparts. Marxism studies are more established than political science in China. In terms of the impact of the Chinese political system on academic fields, disciplines closely related to the political system are less specialized than those weakly related. In the discussion section, we explore reasons that may cause the current stagnation and provide policy recommendations.

Source

Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1360-1376

0.095790796 = product of:
  0.1197385 = sum of:
    0.07668271 = weight(_text_:section in 4941) [ClassicSimilarity], result of:
      0.07668271 = score(doc=4941,freq=2.0), product of:
        0.26305357 = queryWeight, product of:
          5.276892 = idf(docFreq=613, maxDocs=44218)
          0.049850095 = queryNorm
        0.29150987 = fieldWeight in 4941, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.276892 = idf(docFreq=613, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4941)
    0.018839544 = weight(_text_:on in 4941) [ClassicSimilarity], result of:
      0.018839544 = score(doc=4941,freq=4.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.1718293 = fieldWeight in 4941, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4941)
    0.012001811 = weight(_text_:information in 4941) [ClassicSimilarity], result of:
      0.012001811 = score(doc=4941,freq=4.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.13714671 = fieldWeight in 4941, 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=4941)
    0.012214432 = product of:
      0.024428863 = sum of:
        0.024428863 = weight(_text_:technology in 4941) [ClassicSimilarity], result of:
          0.024428863 = score(doc=4941,freq=2.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.16453418 = fieldWeight in 4941, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4941)
      0.5 = coord(1/2)
  0.8 = coord(4/5)

Abstract

Using the Arts & Humanities Citation Index (A&HCI) 2008, we apply mapping techniques previously developed for mapping journal structures in the Science and Social Sciences Citation Indices. Citation relations among the 110,718 records were aggregated at the level of 1,157 journals specific to the A&HCI, and the journal structures are questioned on whether a cognitive structure can be reconstructed and visualized. Both cosine-normalization (bottom up) and factor analysis (top down) suggest a division into approximately 12 subsets. The relations among these subsets are explored using various visualization techniques. However, we were not able to retrieve this structure using the Institute for Scientific Information Subject Categories, including the 25 categories that are specific to the A&HCI. We discuss options for validation such as against the categories of the Humanities Indicators of the American Academy of Arts and Sciences, the panel structure of the European Reference Index for the Humanities, and compare our results with the curriculum organization of the Humanities Section of the College of Letters and Sciences of the University of California at Los Angeles as an example of institutional organization.

Source

Journal of the American Society for Information Science and Technology. 62(2011) no.12, S.2414-2426

0.070913404 = product of:
  0.11818901 = sum of:
    0.092019245 = weight(_text_:section in 147) [ClassicSimilarity], result of:
      0.092019245 = score(doc=147,freq=2.0), product of:
        0.26305357 = queryWeight, product of:
          5.276892 = idf(docFreq=613, maxDocs=44218)
          0.049850095 = queryNorm
        0.34981182 = fieldWeight in 147, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.276892 = idf(docFreq=613, maxDocs=44218)
          0.046875 = fieldNorm(doc=147)
    0.015985882 = weight(_text_:on in 147) [ClassicSimilarity], result of:
      0.015985882 = score(doc=147,freq=2.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.14580199 = fieldWeight in 147, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=147)
    0.0101838745 = weight(_text_:information in 147) [ClassicSimilarity], result of:
      0.0101838745 = score(doc=147,freq=2.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.116372846 = fieldWeight in 147, 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=147)
  0.6 = coord(3/5)

Abstract

Analyses and compares in term of co-occurrences and co-absenses of words in a restricted set of full-text articles from a sub-specialty of biochemistry. By using the distribution of words over the section, a clear distinction among 'theoretical' 'observation', and 'methodological' terminology can be made in individual articles. However, at the level of the set this structure is no longer retrieval: Words change both in terms of frequencies of relations with other words, and in terms of positional meaning from 1 text to another. The fluidity of networks in which nodes and links may chenge positions is ecpected to destabilise representations of developments of the sciences on the basis of co-occurrences and co-absenses of words. Discusses the consequences for the lexicographic approach to generating artificial intelligence from scientific texts

Source

Journal of the American Society for Information Science. 48(1997) no.5, S.418-427

0.061577972 = product of:
  0.10262995 = sum of:
    0.022607451 = weight(_text_:on in 4681) [ClassicSimilarity], result of:
      0.022607451 = score(doc=4681,freq=4.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.20619515 = fieldWeight in 4681, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=4681)
    0.0101838745 = weight(_text_:information in 4681) [ClassicSimilarity], result of:
      0.0101838745 = score(doc=4681,freq=2.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.116372846 = fieldWeight in 4681, 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=4681)
    0.06983863 = sum of:
      0.029314637 = weight(_text_:technology in 4681) [ClassicSimilarity], result of:
        0.029314637 = score(doc=4681,freq=2.0), product of:
          0.14847288 = queryWeight, product of:
            2.978387 = idf(docFreq=6114, maxDocs=44218)
            0.049850095 = queryNorm
          0.19744103 = fieldWeight in 4681, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            2.978387 = idf(docFreq=6114, maxDocs=44218)
            0.046875 = fieldNorm(doc=4681)
      0.040523995 = weight(_text_:22 in 4681) [ClassicSimilarity], result of:
        0.040523995 = score(doc=4681,freq=2.0), product of:
          0.17456654 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.049850095 = queryNorm
          0.23214069 = fieldWeight in 4681, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=4681)
  0.6 = coord(3/5)

Abstract

A recent publication in Nature reports that public R&D funding is only weakly correlated with the citation impact of a nation's articles as measured by the field-weighted citation index (FWCI; defined by Scopus). On the basis of the supplementary data, we up-scaled the design using Web of Science data for the decade 2003-2013 and OECD funding data for the corresponding decade assuming a 2-year delay (2001-2011). Using negative binomial regression analysis, we found very small coefficients, but the effects of international collaboration are positive and statistically significant, whereas the effects of government funding are negative, an order of magnitude smaller, and statistically nonsignificant (in two of three analyses). In other words, international collaboration improves the impact of research articles, whereas more government funding tends to have a small adverse effect when comparing OECD countries.

Date

8. 1.2019 18:22:45

Source

Journal of the Association for Information Science and Technology. 70(2019) no.2, S.198-201

0.051314984 = product of:
  0.08552497 = sum of:
    0.018839544 = weight(_text_:on in 3089) [ClassicSimilarity], result of:
      0.018839544 = score(doc=3089,freq=4.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.1718293 = fieldWeight in 3089, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3089)
    0.0084865615 = weight(_text_:information in 3089) [ClassicSimilarity], result of:
      0.0084865615 = score(doc=3089,freq=2.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.09697737 = fieldWeight in 3089, 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=3089)
    0.05819886 = sum of:
      0.024428863 = weight(_text_:technology in 3089) [ClassicSimilarity], result of:
        0.024428863 = score(doc=3089,freq=2.0), product of:
          0.14847288 = queryWeight, product of:
            2.978387 = idf(docFreq=6114, maxDocs=44218)
            0.049850095 = queryNorm
          0.16453418 = fieldWeight in 3089, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            2.978387 = idf(docFreq=6114, maxDocs=44218)
            0.0390625 = fieldNorm(doc=3089)
      0.03377 = weight(_text_:22 in 3089) [ClassicSimilarity], result of:
        0.03377 = score(doc=3089,freq=2.0), product of:
          0.17456654 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.049850095 = queryNorm
          0.19345059 = fieldWeight in 3089, 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=3089)
  0.6 = coord(3/5)

Abstract

Climate change as a complex physical and social issue has gained increasing attention in the natural as well as the social sciences. Climate change research has become more interdisciplinary and even transdisciplinary as a typical Mode-2 science that is also dependent on an application context for its further development. We propose to approach interdisciplinarity as a co-construction of the knowledge base in the reference patterns and the programmatic focus in the editorials in the core journal of the climate-change sciences-Climatic Change-during the period 1977-2013. First, we analyze the knowledge base of the journal and map journal-journal relations on the basis of the references in the articles. Second, we follow the development of the programmatic focus by analyzing the semantics in the editorials. We argue that interdisciplinarity is a result of the co-construction between different agendas: The selection of publications into the knowledge base of the journal, and the adjustment of the programmatic focus to the political context in the editorials. Our results show a widening of the knowledge base from referencing the multidisciplinary journals Nature and Science to citing journals from specialist fields. The programmatic focus follows policy-oriented issues and incorporates public metaphors.

Date

24. 8.2016 17:53:22

Source

Journal of the Association for Information Science and Technology. 67(2016) no.9, S.2181-2193

0.04899249 = product of:
  0.08165415 = sum of:
    0.031971764 = weight(_text_:on in 752) [ClassicSimilarity], result of:
      0.031971764 = score(doc=752,freq=2.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.29160398 = fieldWeight in 752, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.09375 = fieldNorm(doc=752)
    0.020367749 = weight(_text_:information in 752) [ClassicSimilarity], result of:
      0.020367749 = score(doc=752,freq=2.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.23274569 = fieldWeight in 752, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.09375 = fieldNorm(doc=752)
    0.029314637 = product of:
      0.058629274 = sum of:
        0.058629274 = weight(_text_:technology in 752) [ClassicSimilarity], result of:
          0.058629274 = score(doc=752,freq=2.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.39488205 = fieldWeight in 752, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.09375 = fieldNorm(doc=752)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Source

Journal of the American Society for Information Science and Technology. 64(2013) no.6, S.1306-1308

0.041017454 = product of:
  0.06836242 = sum of:
    0.022607451 = weight(_text_:on in 2779) [ClassicSimilarity], result of:
      0.022607451 = score(doc=2779,freq=4.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.20619515 = fieldWeight in 2779, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=2779)
    0.020367749 = weight(_text_:information in 2779) [ClassicSimilarity], result of:
      0.020367749 = score(doc=2779,freq=8.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.23274569 = fieldWeight in 2779, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=2779)
    0.025387222 = product of:
      0.050774444 = sum of:
        0.050774444 = weight(_text_:technology in 2779) [ClassicSimilarity], result of:
          0.050774444 = score(doc=2779,freq=6.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.34197792 = fieldWeight in 2779, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.046875 = fieldNorm(doc=2779)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

Normalization of citation scores using reference sets based on Web of Science subject categories (WCs) has become an established ("best") practice in evaluative bibliometrics. For example, the Times Higher Education World University Rankings are, among other things, based on this operationalization. However, WCs were developed decades ago for the purpose of information retrieval and evolved incrementally with the database; the classification is machine-based and partially manually corrected. Using the WC "information science & library science" and the WCs attributed to journals in the field of "science and technology studies," we show that WCs do not provide sufficient analytical clarity to carry bibliometric normalization in evaluation practices because of "indexer effects." Can the compliance with "best practices" be replaced with an ambition to develop "best possible practices"? New research questions can then be envisaged.

Source

Journal of the Association for Information Science and Technology. 67(2016) no.3, S.707-714

0.04093005 = product of:
  0.06821675 = sum of:
    0.039157256 = weight(_text_:on in 494) [ClassicSimilarity], result of:
      0.039157256 = score(doc=494,freq=12.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.35714048 = fieldWeight in 494, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=494)
    0.0144021725 = weight(_text_:information in 494) [ClassicSimilarity], result of:
      0.0144021725 = score(doc=494,freq=4.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.16457605 = fieldWeight in 494, 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=494)
    0.014657319 = product of:
      0.029314637 = sum of:
        0.029314637 = weight(_text_:technology in 494) [ClassicSimilarity], result of:
          0.029314637 = score(doc=494,freq=2.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.19744103 = fieldWeight in 494, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.046875 = fieldNorm(doc=494)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

Multiple perspectives on the nonlinear processes of medical innovations can be distinguished and combined using the Medical Subject Headings (MeSH) of the MEDLINE database. Focusing on three main branches-"diseases," "drugs and chemicals," and "techniques and equipment"-we use base maps and overlay techniques to investigate the translations and interactions and thus to gain a bibliometric perspective on the dynamics of medical innovations. To this end, we first analyze the MEDLINE database, the MeSH index tree, and the various options for a static mapping from different perspectives and at different levels of aggregation. Following a specific innovation (RNA interference) over time, the notion of a trajectory which leaves a signature in the database is elaborated. Can the detailed index terms describing the dynamics of research be used to predict the diffusion dynamics of research results? Possibilities are specified for further integration between the MEDLINE database on one hand, and the Science Citation Index and Scopus (containing citation information) on the other.

Source

Journal of the American Society for Information Science and Technology. 63(2012) no.11, S.2239-2253

0.0401981 = product of:
  0.06699683 = sum of:
    0.031971764 = weight(_text_:on in 4004) [ClassicSimilarity], result of:
      0.031971764 = score(doc=4004,freq=8.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.29160398 = fieldWeight in 4004, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=4004)
    0.020367749 = weight(_text_:information in 4004) [ClassicSimilarity], result of:
      0.020367749 = score(doc=4004,freq=8.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.23274569 = fieldWeight in 4004, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=4004)
    0.014657319 = product of:
      0.029314637 = sum of:
        0.029314637 = weight(_text_:technology in 4004) [ClassicSimilarity], result of:
          0.029314637 = score(doc=4004,freq=2.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.19744103 = fieldWeight in 4004, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.046875 = fieldNorm(doc=4004)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

The communication of meaning as distinct from (Shannon-type) information is central to Luhmann's social systems theory and Giddens' structuration theory of action. These theories share an emphasis on reflexivity, but focus on meaning along a divide between interhuman communication and intentful action as two different systems of reference. Recombining these two theories into a theory about the structuration of expectations, interactions, organization, and self-organization of intentional communications can be simulated based on algorithms from the computation of anticipatory systems. The self-organizing and organizing layers remain rooted in the double contingency of the human encounter, which provides the variation. Organization and self-organization of communication are reflexive upon and therefore reconstructive of each other. Using mutual information in three dimensions, the imprint of meaning processing in the modeling system on the historical organization of uncertainty in the modeled system can be measured. This is shown empirically in the case of intellectual organization as "structurating" structure in the textual domain of scientific articles.

Source

Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.2138-2150

Theme

Information

0.03976907 = product of:
  0.06628178 = sum of:
    0.03730039 = weight(_text_:on in 1238) [ClassicSimilarity], result of:
      0.03730039 = score(doc=1238,freq=8.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.34020463 = fieldWeight in 1238, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1238)
    0.011881187 = weight(_text_:information in 1238) [ClassicSimilarity], result of:
      0.011881187 = score(doc=1238,freq=2.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.13576832 = fieldWeight in 1238, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1238)
    0.017100206 = product of:
      0.03420041 = sum of:
        0.03420041 = weight(_text_:technology in 1238) [ClassicSimilarity], result of:
          0.03420041 = score(doc=1238,freq=2.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.23034787 = fieldWeight in 1238, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1238)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

We introduce the quantitative method named "Reference Publication Year Spectroscopy" (RPYS). With this method one can determine the historical roots of research fields and quantify their impact on current research. RPYS is based on the analysis of the frequency with which references are cited in the publications of a specific research field in terms of the publication years of these cited references. The origins show up in the form of more or less pronounced peaks mostly caused by individual publications that are cited particularly frequently. In this study, we use research on graphene and on solar cells to illustrate how RPYS functions, and what results it can deliver.

Source

Journal of the Association for Information Science and Technology. 65(2014) no.4, S.751-764

0.03769147 = product of:
  0.062819116 = sum of:
    0.027688364 = weight(_text_:on in 2224) [ClassicSimilarity], result of:
      0.027688364 = score(doc=2224,freq=6.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.25253648 = fieldWeight in 2224, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=2224)
    0.0144021725 = weight(_text_:information in 2224) [ClassicSimilarity], result of:
      0.0144021725 = score(doc=2224,freq=4.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.16457605 = fieldWeight in 2224, 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=2224)
    0.02072858 = product of:
      0.04145716 = sum of:
        0.04145716 = weight(_text_:technology in 2224) [ClassicSimilarity], result of:
          0.04145716 = score(doc=2224,freq=4.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.2792238 = fieldWeight in 2224, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.046875 = fieldNorm(doc=2224)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

We present a novel routine, namely medlineR, based on the R language, that allows the user to match data from Medline/PubMed with records indexed in the ISI Web of Science (WoS) database. The matching allows exploiting the rich and controlled vocabulary of medical subject headings (MeSH) of Medline/PubMed with additional fields of WoS. The integration provides data (e.g., citation data, list of cited reference, list of the addresses of authors' host organizations, WoS subject categories) to perform a variety of scientometric analyses. This brief communication describes medlineR, the method on which it relies, and the steps the user should follow to perform the matching across the two databases. To demonstrate the differences from Leydesdorff and Opthof (Journal of the American Society for Information Science and Technology, 64(5), 1076-1080), we conclude this artcle by testing the routine on the MeSH category "Burgada syndrome."

Source

Journal of the Association for Information Science and Technology. 66(2015) no.10, S.2155-2159

0.036618754 = product of:
  0.061031256 = sum of:
    0.031971764 = weight(_text_:on in 3704) [ClassicSimilarity], result of:
      0.031971764 = score(doc=3704,freq=8.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.29160398 = fieldWeight in 3704, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=3704)
    0.0144021725 = weight(_text_:information in 3704) [ClassicSimilarity], result of:
      0.0144021725 = score(doc=3704,freq=4.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.16457605 = fieldWeight in 3704, 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=3704)
    0.014657319 = product of:
      0.029314637 = sum of:
        0.029314637 = weight(_text_:technology in 3704) [ClassicSimilarity], result of:
          0.029314637 = score(doc=3704,freq=2.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.19744103 = fieldWeight in 3704, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.046875 = fieldNorm(doc=3704)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

Using Google Earth, Google Maps, and/or network visualization programs such as Pajek, one can overlay the network of relations among addresses in scientific publications onto the geographic map. The authors discuss the pros and cons of various options, and provide software (freeware) for bridging existing gaps between the Science Citation Indices (Thomson Reuters) and Scopus (Elsevier), on the one hand, and these various visualization tools on the other. At the level of city names, the global map can be drawn reliably on the basis of the available address information. At the level of the names of organizations and institutes, there are problems of unification both in the ISI databases and with Scopus. Pajek enables a combination of visualization and statistical analysis, whereas the Google Maps and its derivatives provide superior tools on the Internet.

Source

Journal of the American Society for Information Science and Technology. 61(2010) no.8, S.1622-1634

0.034087777 = product of:
  0.056812957 = sum of:
    0.031971764 = weight(_text_:on in 4485) [ClassicSimilarity], result of:
      0.031971764 = score(doc=4485,freq=8.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.29160398 = fieldWeight in 4485, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=4485)
    0.0101838745 = weight(_text_:information in 4485) [ClassicSimilarity], result of:
      0.0101838745 = score(doc=4485,freq=2.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.116372846 = fieldWeight in 4485, 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=4485)
    0.014657319 = product of:
      0.029314637 = sum of:
        0.029314637 = weight(_text_:technology in 4485) [ClassicSimilarity], result of:
          0.029314637 = score(doc=4485,freq=2.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.19744103 = fieldWeight in 4485, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.046875 = fieldNorm(doc=4485)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

We submit newly developed citation impact indicators based not on arithmetic averages of citations but on percentile ranks. Citation distributions are-as a rule-highly skewed and should not be arithmetically averaged. With percentile ranks, the citation score of each paper is rated in terms of its percentile in the citation distribution. The percentile ranks approach allows for the formulation of a more abstract indicator scheme that can be used to organize and/or schematize different impact indicators according to three degrees of freedom: the selection of the reference sets, the evaluation criteria, and the choice of whether or not to define the publication sets as independent. Bibliometric data of seven principal investigators (PIs) of the Academic Medical Center of the University of Amsterdam are used as an exemplary dataset. We demonstrate that the proposed family indicators [R(6), R(100), R(6, k), R(100, k)] are an improvement on averages-based indicators because one can account for the shape of the distributions of citations over papers.

Source

Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1370-1381

0.03305393 = product of:
  0.055089884 = sum of:
    0.018839544 = weight(_text_:on in 4919) [ClassicSimilarity], result of:
      0.018839544 = score(doc=4919,freq=4.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.1718293 = fieldWeight in 4919, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4919)
    0.018976528 = weight(_text_:information in 4919) [ClassicSimilarity], result of:
      0.018976528 = score(doc=4919,freq=10.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.21684799 = fieldWeight in 4919, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4919)
    0.017273815 = product of:
      0.03454763 = sum of:
        0.03454763 = weight(_text_:technology in 4919) [ClassicSimilarity], result of:
          0.03454763 = score(doc=4919,freq=4.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.23268649 = fieldWeight in 4919, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4919)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

In bibliometrics, the association of "impact" with central-tendency statistics is mistaken. Impacts add up, and citation curves therefore should be integrated instead of averaged. For example, the journals MIS Quarterly and Journal of the American Society for Information Science and Technology differ by a factor of 2 in terms of their respective impact factors (IF), but the journal with the lower IF has the higher impact. Using percentile ranks (e.g., top-1%, top-10%, etc.), an Integrated Impact Indicator (I3) can be based on integration of the citation curves, but after normalization of the citation curves to the same scale. The results across document sets can be compared as percentages of the total impact of a reference set. Total number of citations, however, should not be used instead because the shape of the citation curves is then not appreciated. I3 can be applied to any document set and any citation window. The results of the integration (summation) are fully decomposable in terms of journals or institutional units such as nations, universities, and so on because percentile ranks are determined at the paper level. In this study, we first compare I3 with IFs for the journals in two Institute for Scientific Information subject categories ("Information Science & Library Science" and "Multidisciplinary Sciences"). The library and information science set is additionally decomposed in terms of nations. Policy implications of this possible paradigm shift in citation impact analysis are specified.

Source

Journal of the American Society for Information Science and Technology. 62(2011) no.11, S.2133-2146

0.03261207 = product of:
  0.05435345 = sum of:
    0.015985882 = weight(_text_:on in 288) [ClassicSimilarity], result of:
      0.015985882 = score(doc=288,freq=2.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.14580199 = fieldWeight in 288, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=288)
    0.017638987 = weight(_text_:information in 288) [ClassicSimilarity], result of:
      0.017638987 = score(doc=288,freq=6.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.20156369 = fieldWeight in 288, 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=288)
    0.02072858 = product of:
      0.04145716 = sum of:
        0.04145716 = weight(_text_:technology in 288) [ClassicSimilarity], result of:
          0.04145716 = score(doc=288,freq=4.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.2792238 = fieldWeight in 288, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.046875 = fieldNorm(doc=288)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

A technique is developed using patent information available online (at the U.S. Patent and Trademark Office) for the generation of Google Maps. The overlays indicate both the quantity and the quality of patents at the city level. This information is relevant for research questions in technology analysis, innovation studies, and evolutionary economics, as well as economic geography. The resulting maps can also be relevant for technological innovation policies and research and development management, because the U.S. market can be considered the leading market for patenting and patent competition. In addition to the maps, the routines provide quantitative data about the patents for statistical analysis. The cities on the map are colored according to the results of significance tests. The overlays are explored for the Netherlands as a "national system of innovations" and further elaborated in two cases of emerging technologies: ribonucleic acid interference (RNAi) and nanotechnology.

Source

Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1442-1458

0.031999223 = product of:
  0.05333204 = sum of:
    0.032631043 = weight(_text_:on in 1131) [ClassicSimilarity], result of:
      0.032631043 = score(doc=1131,freq=12.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.29761705 = fieldWeight in 1131, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1131)
    0.0084865615 = weight(_text_:information in 1131) [ClassicSimilarity], result of:
      0.0084865615 = score(doc=1131,freq=2.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.09697737 = fieldWeight in 1131, 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=1131)
    0.012214432 = product of:
      0.024428863 = sum of:
        0.024428863 = weight(_text_:technology in 1131) [ClassicSimilarity], result of:
          0.024428863 = score(doc=1131,freq=2.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.16453418 = fieldWeight in 1131, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1131)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

Using the option Analyze Results with the Web of Science, one can directly generate overlays onto global journal maps of science. The maps are based on the 10,000+ journals contained in the Journal Citation Reports (JCR) of the Science and Social Sciences Citation Indices (2011). The disciplinary diversity of the retrieval is measured in terms of Rao-Stirling's "quadratic entropy" (Izsák & Papp, 1995). Since this indicator of interdisciplinarity is normalized between 0 and 1, interdisciplinarity can be compared among document sets and across years, cited or citing. The colors used for the overlays are based on Blondel, Guillaume, Lambiotte, and Lefebvre's (2008) community-finding algorithms operating on the relations among journals included in the JCR. The results can be exported from VOSViewer with different options such as proportional labels, heat maps, or cluster density maps. The maps can also be web-started or animated (e.g., using PowerPoint). The "citing" dimension of the aggregated journal-journal citation matrix was found to provide a more comprehensive description than the matrix based on the cited archive. The relations between local and global maps and their different functions in studying the sciences in terms of journal literatures are further discussed: Local and global maps are based on different assumptions and can be expected to serve different purposes for the explanation.

Source

Journal of the American Society for Information Science and Technology. 64(2013) no.12, S.2573-2586

0.031517737 = product of:
  0.05252956 = sum of:
    0.027688364 = weight(_text_:on in 1341) [ClassicSimilarity], result of:
      0.027688364 = score(doc=1341,freq=6.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.25253648 = fieldWeight in 1341, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=1341)
    0.0101838745 = weight(_text_:information in 1341) [ClassicSimilarity], result of:
      0.0101838745 = score(doc=1341,freq=2.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.116372846 = fieldWeight in 1341, 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=1341)
    0.014657319 = product of:
      0.029314637 = sum of:
        0.029314637 = weight(_text_:technology in 1341) [ClassicSimilarity], result of:
          0.029314637 = score(doc=1341,freq=2.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.19744103 = fieldWeight in 1341, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.046875 = fieldNorm(doc=1341)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

The debate about which similarity measure one should use for the normalization in the case of Author Co-citation Analysis (ACA) is further complicated when one distinguishes between the symmetrical co-citation - or, more generally, co-occurrence - matrix and the underlying asymmetrical citation - occurrence - matrix. In the Web environment, the approach of retrieving original citation data is often not feasible. In that case, one should use the Jaccard index, but preferentially after adding the number of total citations (i.e., occurrences) on the main diagonal. Unlike Salton's cosine and the Pearson correlation, the Jaccard index abstracts from the shape of the distributions and focuses only on the intersection and the sum of the two sets. Since the correlations in the co-occurrence matrix may be spurious, this property of the Jaccard index can be considered as an advantage in this case.

Source

Journal of the American Society for Information Science and Technology. 59(2008) no.1, S.77-85

0.031000165 = product of:
  0.05166694 = sum of:
    0.022607451 = weight(_text_:on in 1110) [ClassicSimilarity], result of:
      0.022607451 = score(doc=1110,freq=4.0), product of:
        0.109641045 = queryWeight, product of:
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.049850095 = queryNorm
        0.20619515 = fieldWeight in 1110, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.199415 = idf(docFreq=13325, maxDocs=44218)
          0.046875 = fieldNorm(doc=1110)
    0.0144021725 = weight(_text_:information in 1110) [ClassicSimilarity], result of:
      0.0144021725 = score(doc=1110,freq=4.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.16457605 = fieldWeight in 1110, 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=1110)
    0.014657319 = product of:
      0.029314637 = sum of:
        0.029314637 = weight(_text_:technology in 1110) [ClassicSimilarity], result of:
          0.029314637 = score(doc=1110,freq=2.0), product of:
            0.14847288 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.049850095 = queryNorm
            0.19744103 = fieldWeight in 1110, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.046875 = fieldNorm(doc=1110)
      0.5 = coord(1/2)
  0.6 = coord(3/5)

Abstract

Using data from the Web of Science (WoS), we analyze the mutual information among university, industry, and government addresses (U-I-G) at the country level for a number of countries. The dynamic evolution of the Triple Helix can thus be compared among developed and developing nations in terms of cross-sectional coauthorship relations. The results show that the Triple Helix interactions among the three subsystems U-I-G become less intensive over time, but unequally for different countries. We suggest that globalization erodes local Triple Helix relations and thus can be expected to have increased differentiation in national systems since the mid-1990s. This effect of globalization is more pronounced in developed countries than in developing ones. In the dynamic analysis, we focus on a more detailed comparison between China and the United States. Specifically, the Chinese Academy of the (Social) Sciences is changing increasingly from a public research institute to an academic one, and this has a measurable effect on China's position in the globalization.

Source

Journal of the American Society for Information Science and Technology. 64(2013) no.11, S.2317-2325

0.030870158 = product of:
  0.07717539 = sum of:
    0.018976528 = weight(_text_:information in 4463) [ClassicSimilarity], result of:
      0.018976528 = score(doc=4463,freq=10.0), product of:
        0.08751074 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.049850095 = queryNorm
        0.21684799 = fieldWeight in 4463, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4463)
    0.05819886 = sum of:
      0.024428863 = weight(_text_:technology in 4463) [ClassicSimilarity], result of:
        0.024428863 = score(doc=4463,freq=2.0), product of:
          0.14847288 = queryWeight, product of:
            2.978387 = idf(docFreq=6114, maxDocs=44218)
            0.049850095 = queryNorm
          0.16453418 = fieldWeight in 4463, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            2.978387 = idf(docFreq=6114, maxDocs=44218)
            0.0390625 = fieldNorm(doc=4463)
      0.03377 = weight(_text_:22 in 4463) [ClassicSimilarity], result of:
        0.03377 = score(doc=4463,freq=2.0), product of:
          0.17456654 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.049850095 = queryNorm
          0.19345059 = fieldWeight in 4463, 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=4463)
  0.4 = coord(2/5)

Abstract

This article considers the relationships among meaning generation, selection, and the dynamics of discourse from a variety of perspectives ranging from information theory and biology to sociology. Following Husserl's idea of a horizon of meanings in intersubjective communication, we propose a way in which, using Shannon's equations, the generation and selection of meanings from a horizon of possibilities can be considered probabilistically. The information-theoretical dynamics we articulate considers a process of meaning generation within cultural evolution: information is imbued with meaning, and through this process, the number of options for the selection of meaning in discourse proliferates. The redundancy of possible meanings contributes to a codification of expectations within the discourse. Unlike hardwired DNA, the codes of nonbiological systems can coevolve with the variations. Spanning horizons of meaning, the codes structure the communications as selection environments that shape discourses. Discursive knowledge can be considered as meta-coded communication that enables us to translate among differently coded communications. The dynamics of discursive knowledge production can thus infuse the historical dynamics with a cultural evolution by adding options, that is, by increasing redundancy. A calculus of redundancy is presented as an indicator whereby these dynamics of discourse and meaning may be explored empirically.

Date

29. 9.2018 11:22:09

Source

Journal of the Association for Information Science and Technology. 69(2018) no.10, S.1181-1192

Theme

Information