Search (3 results, page 1 of 1)

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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

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Abstract

State of the art review of recent models of literatures that offer visual clues to relationships among writings that are often based term occurences and co-occurences. Considers the advantages of 2 dimensional and 3 dimensional displays of relationships over other models; bibliographic models; editorial models; bibliometric models; user models; and synthetic models. Discusses the online visualization and offline visualizations and the problems of visualizing changing literatures in a static medium, such as hard copy print. Argues that insufficient attention has been paid to user friendly visual design with the related questions of new capabilities and scaling up to larger collections. Concludes with the hope that, in future, the same visualization interface used for bibliographic domain analysis will be used for document retrieval

Source

Annual review of information science and technology. 32(1997), S.99-168

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Abstract

Presents an extensive domain analysis of information science in terms of its authors. Names of those most frequently cited in 12 key journals from 1972 through 1995 were retrieved from Social SciSearch via Dialog. The top 120 were submitted to author co-citation analyzes, yielding automatic classifications relevant to histories of the field

Source

Journal of the American Society for Information Science. 49(1998) no.4, S.327-355