Search (4 results, page 1 of 1)

0.02015615 = product of:
  0.0403123 = sum of:
    0.0403123 = product of:
      0.0806246 = sum of:
        0.0806246 = weight(_text_:2007 in 3705) [ClassicSimilarity], result of:
          0.0806246 = score(doc=3705,freq=2.0), product of:
            0.20205033 = queryWeight, product of:
              4.514535 = idf(docFreq=1315, maxDocs=44218)
              0.044755515 = queryNorm
            0.39903226 = fieldWeight in 3705, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.514535 = idf(docFreq=1315, maxDocs=44218)
              0.0625 = fieldNorm(doc=3705)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The authors propose using the technique of weighted citation to measure an article's prestige. The technique allocates a different weight to each reference by taking into account the impact of citing journals and citation time intervals. Weightedcitation captures prestige, whereas citation counts capture popularity. They compare the value variances for popularity and prestige for articles published in the Journal of the American Society for Information Science and Technology from 1998 to 2007, and find that the majority have comparable status.

0.01763663 = product of:
  0.03527326 = sum of:
    0.03527326 = product of:
      0.07054652 = sum of:
        0.07054652 = weight(_text_:2007 in 3083) [ClassicSimilarity], result of:
          0.07054652 = score(doc=3083,freq=2.0), product of:
            0.20205033 = queryWeight, product of:
              4.514535 = idf(docFreq=1315, maxDocs=44218)
              0.044755515 = queryNorm
            0.34915322 = fieldWeight in 3083, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.514535 = idf(docFreq=1315, maxDocs=44218)
              0.0546875 = fieldNorm(doc=3083)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Many studies on coauthorship networks focus on network topology and network statistical mechanics. This article takes a different approach by studying micro-level network properties with the aim of applying centrality measures to impact analysis. Using coauthorship data from 16 journals in the field of library and information science (LIS) with a time span of 20 years (1988-2007), we construct an evolving coauthorship network and calculate four centrality measures (closeness centrality, betweenness centrality, degree centrality, and PageRank) for authors in this network. We find that the four centrality measures are significantly correlated with citation counts. We also discuss the usability of centrality measures in author ranking and suggest that centrality measures can be useful indicators for impact analysis.

0.0125975935 = product of:
  0.025195187 = sum of:
    0.025195187 = product of:
      0.050390374 = sum of:
        0.050390374 = weight(_text_:2007 in 4608) [ClassicSimilarity], result of:
          0.050390374 = score(doc=4608,freq=2.0), product of:
            0.20205033 = queryWeight, product of:
              4.514535 = idf(docFreq=1315, maxDocs=44218)
              0.044755515 = queryNorm
            0.24939516 = fieldWeight in 4608, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.514535 = idf(docFreq=1315, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4608)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This study comprises a suite of analyses of words in article titles in order to reveal the cognitive structure of Library and Information Science (LIS). The use of title words to elucidate the cognitive structure of LIS has been relatively neglected. The present study addresses this gap by performing (a) co-word analysis and hierarchical clustering, (b) multidimensional scaling, and (c) determination of trends in usage of terms. The study is based on 10,344 articles published between 1988 and 2007 in 16 LIS journals. Methodologically, novel aspects of this study are: (a) its large scale, (b) removal of non-specific title words based on the "word concentration" measure (c) identification of the most frequent terms that include both single words and phrases, and (d) presentation of the relative frequencies of terms using "heatmaps". Conceptually, our analysis reveals that LIS consists of three main branches: the traditionally recognized library-related and information-related branches, plus an equally distinct bibliometrics/scientometrics branch. The three branches focus on: libraries, information, and science, respectively. In addition, our study identifies substructures within each branch. We also tentatively identify "information seeking behavior" as a branch that is establishing itself separate from the three main branches. Furthermore, we find that cognitive concepts in LIS evolve continuously, with no stasis since 1992. The most rapid development occurred between 1998 and 2001, influenced by the increased focus on the Internet. The change in the cognitive landscape is found to be driven by the emergence of new information technologies, and the retirement of old ones.

0.010719304 = product of:
  0.021438608 = sum of:
    0.021438608 = product of:
      0.042877216 = sum of:
        0.042877216 = weight(_text_:22 in 1534) [ClassicSimilarity], result of:
          0.042877216 = score(doc=1534,freq=4.0), product of:
            0.15672618 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044755515 = queryNorm
            0.27358043 = fieldWeight in 1534, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1534)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date

26.10.2014 20:22:22