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)
0.01
0.012802532 = product of:
0.051210128 = sum of:
0.051210128 = weight(_text_:data in 143) [ClassicSimilarity], result of:
0.051210128 = score(doc=143,freq=4.0), product of:
0.14807065 = queryWeight, product of:
3.1620505 = idf(docFreq=5088, maxDocs=44218)
0.046827413 = queryNorm
0.34584928 = fieldWeight in 143, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.1620505 = idf(docFreq=5088, 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
