Search (1 results, page 1 of 1)

  • × author_ss:"Chen, C."
  • × theme_ss:"Informetrie"
  • × theme_ss:"Visualisierung"
  1. Chen, C.: CiteSpace II : detecting and visualizing emerging trends and transient patterns in scientific literature (2006) 0.02
    0.016754922 = product of:
      0.041887302 = sum of:
        0.02542624 = weight(_text_:of in 5272) [ClassicSimilarity], result of:
          0.02542624 = score(doc=5272,freq=30.0), product of:
            0.07599624 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.04859849 = queryNorm
            0.33457235 = fieldWeight in 5272, product of:
              5.477226 = tf(freq=30.0), with freq of:
                30.0 = termFreq=30.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5272)
        0.016461061 = product of:
          0.032922123 = sum of:
            0.032922123 = weight(_text_:22 in 5272) [ClassicSimilarity], result of:
              0.032922123 = score(doc=5272,freq=2.0), product of:
                0.17018363 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.04859849 = queryNorm
                0.19345059 = fieldWeight in 5272, 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=5272)
          0.5 = coord(1/2)
      0.4 = coord(2/5)
    
    Abstract
    This article describes the latest development of a generic approach to detecting and visualizing emerging trends and transient patterns in scientific literature. The work makes substantial theoretical and methodological contributions to progressive knowledge domain visualization. A specialty is conceptualized and visualized as a time-variant duality between two fundamental concepts in information science: research fronts and intellectual bases. A research front is defined as an emergent and transient grouping of concepts and underlying research issues. The intellectual base of a research front is its citation and co-citation footprint in scientific literature - an evolving network of scientific publications cited by research-front concepts. Kleinberg's (2002) burst-detection algorithm is adapted to identify emergent research-front concepts. Freeman's (1979) betweenness centrality metric is used to highlight potential pivotal points of paradigm shift over time. Two complementary visualization views are designed and implemented: cluster views and time-zone views. The contributions of the approach are that (a) the nature of an intellectual base is algorithmically and temporally identified by emergent research-front terms, (b) the value of a co-citation cluster is explicitly interpreted in terms of research-front concepts, and (c) visually prominent and algorithmically detected pivotal points substantially reduce the complexity of a visualized network. The modeling and visualization process is implemented in CiteSpace II, a Java application, and applied to the analysis of two research fields: mass extinction (1981-2004) and terrorism (1990-2003). Prominent trends and pivotal points in visualized networks were verified in collaboration with domain experts, who are the authors of pivotal-point articles. Practical implications of the work are discussed. A number of challenges and opportunities for future studies are identified.
    Date
    22. 7.2006 16:11:05
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.3, S.359-377