The Challenge of Scientometrics: The Development, Measurement, and Self-Organization of Scientific Communications, pp. 1-25

Persistent Link:
http://hdl.handle.net/10150/105095
Title:
The Challenge of Scientometrics: The Development, Measurement, and Self-Organization of Scientific Communications, pp. 1-25
Author:
Leydesdorff, Loet
Citation:
The Challenge of Scientometrics: The Development, Measurement, and Self-Organization of Scientific Communications, pp. 1-25 2001, :1-25 in: Ibid.
Publisher:
Universal Publishers, Parkland, Florida
Journal:
in: Ibid.
Issue Date:
2001
URI:
http://hdl.handle.net/10150/105095
Submitted date:
2006-03-23
Abstract:
The quantitative study of scientific communication challenges science and technology studies by demonstrating that organized knowledge production and control is amenable to measurement. First, the various dimensions of the empirical study of the sciences are clarified in a methodological analysis of theoretical traditions, including the sociology of scientific knowledge and neo-conventionalism in the philosophy of science. Second, the author argues why the mathematical theory of communication enables us to address crucial problems in science and technology studies, both on the qualitative side (e.g., the significance of a reconstruction) and on the quantitative side (e.g., the prediction of indicators). A comprehensive set of probabilistic entropy measures for studying complex developments in networks is elaborated. In the third part of the study, applications to S&T policy questions (e.g., the emergence of a European R&D system), to problems of (Bayesian) knowledge representations, and to the study of the sciences in terms of 'self-organizing' paradigms of scientific communication are provided. A discussion of directions for further research concludes the study.
Type:
Book Chapter
Language:
en
Keywords:
Science Technology Studies
Local subject classification:
Scientometrics; Fulltext; Probabilistic entropy; Self-organization; Static; Dynamic

Full metadata record

DC FieldValue Language
dc.contributor.authorLeydesdorff, Loeten_US
dc.date.accessioned2006-03-23T00:00:01Z-
dc.date.available2010-06-18T23:19:18Z-
dc.date.issued2001en_US
dc.date.submitted2006-03-23en_US
dc.identifier.citationThe Challenge of Scientometrics: The Development, Measurement, and Self-Organization of Scientific Communications, pp. 1-25 2001, :1-25 in: Ibid.en_US
dc.identifier.urihttp://hdl.handle.net/10150/105095-
dc.description.abstractThe quantitative study of scientific communication challenges science and technology studies by demonstrating that organized knowledge production and control is amenable to measurement. First, the various dimensions of the empirical study of the sciences are clarified in a methodological analysis of theoretical traditions, including the sociology of scientific knowledge and neo-conventionalism in the philosophy of science. Second, the author argues why the mathematical theory of communication enables us to address crucial problems in science and technology studies, both on the qualitative side (e.g., the significance of a reconstruction) and on the quantitative side (e.g., the prediction of indicators). A comprehensive set of probabilistic entropy measures for studying complex developments in networks is elaborated. In the third part of the study, applications to S&T policy questions (e.g., the emergence of a European R&D system), to problems of (Bayesian) knowledge representations, and to the study of the sciences in terms of 'self-organizing' paradigms of scientific communication are provided. A discussion of directions for further research concludes the study.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherUniversal Publishers, Parkland, Floridaen_US
dc.subjectScience Technology Studiesen_US
dc.subject.otherScientometricsen_US
dc.subject.otherFulltexten_US
dc.subject.otherProbabilistic entropyen_US
dc.subject.otherSelf-organizationen_US
dc.subject.otherStaticen_US
dc.subject.otherDynamicen_US
dc.titleThe Challenge of Scientometrics: The Development, Measurement, and Self-Organization of Scientific Communications, pp. 1-25en_US
dc.typeBook Chapteren_US
dc.identifier.journalin: Ibid.en_US
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