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Lucio-Arias, D. & Leydesdorff, D. (2009) The Dynamics of Exchanges and References among Scientific Texts, and the Autopoiesis of Discursive Knowledge. Journal of Informetrics 3 (3): 26
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Lucio-Arias, D., Leydesdorff, L. (2008). Main-path analysis and path-dependent transitions in HistCite™-based historiograms. Journal of the American Society for Information Science and Technology 59(12), 1948-1962.
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Lucio-Arias, D., & Leydesdorff, L. (2007). Knowledge Emergence in Scientific Communication: From “Fullerenes” to “Nanotubes”. Scientometrics, 70(3), 603-632.
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Lucio-Arias, D. (2006). Fuelling a national innovation system in Colombia . Industry and Higher Education, 20 (4), 237-241
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Routine to compute the reduction of uncertainty in a set of documents
This routine computes the entropies generated when three sources of variance interact with the potential to reduce the uncertainty at the systems level.
The indicator is formalized as configurational information (Mu*) in McGill (1954), Abramson (1963), Jakulin (2005), Yeung (2008). It has been used to measure synergy at the system's level.
For more information consult: Lucio-Arias, D, & Leydesdorff, L. (submitted). An Indicator of Research Front Activity: Measuring Intellectual Organization as Uncertainty Reduction in Document Sets.
Routine
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Routine to compute Critical Transitions for HistCite historiograms
This routine computes the relative entropies generated by the transition between a set of matrices (Theil 1972; Leydesdorff 1995) according to the Kullback-Leibler divergence (Kullback & Leibler, 1951). The results are combined with the output of HistCite to valuethe links in terms of probabilistic entropy which is given in millibits of information.
The routine uses a set of similar and all fields numeric matrices that should be numbered sequentially like MATR1.dbf, MATR2.dbf and stored as dbase III or Clipper ('87)-files as well as theoutput file from HistCite in the Pajek format which has to be named histcite.net
The files and the routine should be stored inthe same directory . The routine generates iij.dbf which contains the probabilistic entropy between each two matrices, hist2.txt which adds to the arc in the HistCite file the expected information values (I), and crtrans.txt that contains all possible transitions in the Pajek format. The critical ones have a negative sign and are therefore dashed in the visualization using Pajek.. The output files are overwritten in each round! Save them separately if useful.
Routine to compute Critical Transitions for HistCite historiograms |
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CONFERENCES
2008. September 17-20, Vienna, Austria.10th International Conference on Science and Technology Indicators. Mutual Information as an Indicator of Cognitive Development in Research Specialties.
2008. August 20-23, Rotterdam, The Netherlands. Society for the Social Studies of Science (4S) & European Association for the Study of Science and Technology (EASST).Scientometrics and Sociometrics Analysis of the Discovery of Nanotubes within the Field of
Fullerenes
2007. October 11-13, Montreal , Canada . Society for the Social Studies of Science and Technology Anual Meeting. Building Narratives fromthe Historical Reconstruction of Scientific Developments: From “Fullerenes” to “Nanotubes"
2007. June 25-27, Madrid, Spain. 11th International Conference of the International Society for Scientometrics and Informetrics. A Validation Study of HistCite™ Using the Discoveries of Fullerenes and Nanotubes
2006. 7–9 September, Leuven , Belgium. 9th International Conference on Science and Technology Indicators. The Construction of Indicators in a developing Country: S&T Indicators in Colombia
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