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  • × author_ss:"Small, H."
  1. Small, H.: Update on science mapping : creating large document spaces (1997) 0.04 
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    Abstract
    Science mapping projects have been revived by the advent of virtual reality (VR) software capable of navigating large sysnthetic 3 dimensional spaces. Unlike the earlier mapping efforts aimed at creating simple maps at either a global or local level, the focus is now on creating large scale maps displaying many thousands of documents which can be input into the new VR systems. Presents a general framework for creating large scale document spaces as well as some new methods which perform some of the individual processing steps. The methods are designed primarily for citation data but could be applied to other types of data, including hypertext links
  2. Small, H.: Visualizing science by citation mapping (1999) 0.04 
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    Abstract
    Science mapping is discussed in the general context of information visualization. Attempts to construct maps of science using citation data are reviewed, focusing on the use of co-citation clusters. New work is reported on a dataset of about 36.000 documents using simplified methods for ordination, and nesting maps hierarchically. an overall map of the dataset shows the multidisciplinary breadth of the document sample, and submaps allow drilling down the document level. An effort to visualize these data using advanced virtual reality software is described, and the creation of document pathways through the map is seen as a realization of Bush's associative trails
  3. Small, H.: Paradigms, citations, and maps of science : a personal history (2003) 0.04 
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    Abstract
    Can maps of science tell us anything about paradigms? The author reviews his earlier work an this question, including Kuhn's reaction to it. Kuhn's view of the role of bibliometrics differs substantially from the kinds of reinterpretations of paradigms that information scientists are currently advocating. But these reinterpretations are necessary if his theory will ever be empirically tested, and further progress is to be made in understanding the growth of scientific knowledge. A new Web tool is discussed that highlights rapidly changing specialties that may lead to new ways of monitoring revolutionary change in real time. It is suggested that revolutionary and normal science be seen as extremes an a continuum of rates of change rather than, as Kuhn originally asserted, as an all or none proposition.
  4. Small, H.: ¬A general framework for creating large scale maps of science in two or three dimensions : the SciViz system (1998) 0.04 
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