Search (4 results, page 1 of 1)

  • × year_i:[2010 TO 2020}
  • × author_ss:"Chen, C."
  1. Chen, C.; Leydesdorff, L.: Patterns of connections and movements in dual-map overlays : a new method of publication portfolio analysis (2014) 0.00 
    3.5022903E-4 = product of:
  0.008055268 = sum of:
    0.008055268 = product of:
      0.016110536 = sum of:
        0.016110536 = weight(_text_:29 in 1200) [ClassicSimilarity], result of:
          0.016110536 = score(doc=1200,freq=2.0), product of:
            0.08290443 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.023567878 = queryNorm
            0.19432661 = fieldWeight in 1200, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1200)
      0.5 = coord(1/2)
  0.04347826 = coord(1/23)
    Date
    29. 1.2014 16:38:28
  2. Liu, S.; Chen, C.: ¬The differences between latent topics in abstracts and citation contexts of citing papers (2013) 0.00 
    3.470785E-4 = product of:
  0.007982805 = sum of:
    0.007982805 = product of:
      0.01596561 = sum of:
        0.01596561 = weight(_text_:22 in 671) [ClassicSimilarity], result of:
          0.01596561 = score(doc=671,freq=2.0), product of:
            0.08253069 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.023567878 = queryNorm
            0.19345059 = fieldWeight in 671, 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=671)
      0.5 = coord(1/2)
  0.04347826 = coord(1/23)
    Date
    22. 3.2013 19:50:00
  3. Ping, Q.; He, J.; Chen, C.: How many ways to use CiteSpace? : a study of user interactive events over 14 months (2017) 0.00 
    2.4153895E-4 = product of:
  0.0055553955 = sum of:
    0.0055553955 = product of:
      0.011110791 = sum of:
        0.011110791 = weight(_text_:1 in 3602) [ClassicSimilarity], result of:
          0.011110791 = score(doc=3602,freq=4.0), product of:
            0.057894554 = queryWeight, product of:
              2.4565027 = idf(docFreq=10304, maxDocs=44218)
              0.023567878 = queryNorm
            0.19191428 = fieldWeight in 3602, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.4565027 = idf(docFreq=10304, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3602)
      0.5 = coord(1/2)
  0.04347826 = coord(1/23)
    Abstract
    Using visual analytic systems effectively may incur a steep learning curve for users, especially for those who have little prior knowledge of either using the tool or accomplishing analytic tasks. How do users deal with a steep learning curve over time? Are there particularly problematic aspects of an analytic process? In this article we investigate these questions through an integrative study of the use of CiteSpace-a visual analytic tool for finding trends and patterns in scientific literature. In particular, we analyze millions of interactive events in logs generated by users worldwide over a 14-month period. The key findings are: (i) three levels of proficiency are identified, namely, level 1: low proficiency, level 2: intermediate proficiency, and level 3: high proficiency, and (ii) behavioral patterns at level 3 are resulted from a more engaging interaction with the system, involving a wider variety of events and being characterized by longer state transition paths, whereas behavioral patterns at levels 1 and 2 seem to focus on learning how to use the tool. This study contributes to the development and evaluation of visual analytic systems in realistic settings and provides a valuable addition to the study of interactive visual analytic processes.
  4. Leydesdorff, L.; Rafols, I.; Chen, C.: Interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal-journal citations (2013) 0.00 
    1.707938E-4 = product of:
  0.0039282576 = sum of:
    0.0039282576 = product of:
      0.007856515 = sum of:
        0.007856515 = weight(_text_:1 in 1131) [ClassicSimilarity], result of:
          0.007856515 = score(doc=1131,freq=2.0), product of:
            0.057894554 = queryWeight, product of:
              2.4565027 = idf(docFreq=10304, maxDocs=44218)
              0.023567878 = queryNorm
            0.13570388 = fieldWeight in 1131, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.4565027 = idf(docFreq=10304, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1131)
      0.5 = coord(1/2)
  0.04347826 = coord(1/23)
    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.

Authors