White, H.D.; Lin, X.; McCain, K.W.: Two modes of automated domain analysis : multidimensional scaling vs. Kohonen feature mapping of information science authors (1998)
0.04
0.039050333 = product of:
0.15620133 = sum of:
0.15620133 = weight(_text_:assisted in 143) [ClassicSimilarity], result of:
0.15620133 = score(doc=143,freq=2.0), product of:
0.29897895 = queryWeight, product of:
6.7552447 = idf(docFreq=139, maxDocs=44218)
0.04425879 = queryNorm
0.52244925 = fieldWeight in 143, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
6.7552447 = idf(docFreq=139, maxDocs=44218)
0.0546875 = fieldNorm(doc=143)
0.25 = coord(1/4)
- Abstract
- This paper shows that, given co-citation data, Kohonen feature mapping produces results quite similar to those of multidimensional scaling, the traditional mode for computer-assisted mapping of intellectual domains. It further presents a Kohonen feature map based on author co-citation data that links author names to information about them on the World Wide Web. The results bear on a goal for present-day information science: the integration of computerized bibliometrics with document retrieval
