Structure and dynamics of scientific networks. Part I: Fundamentals of the quantitative model of translation
R. Ruiz-Baños,
R. Bailón-Moreno,
E. Jiménez-Contreras and
J. -P. Courtial
Additional contact information
R. Ruiz-Baños: Universidad de Granada
R. Bailón-Moreno: Universidad de Granada
E. Jiménez-Contreras: Universidad de Granada
J. -P. Courtial: Université de Nantes
Scientometrics, 1999, vol. 44, issue 2, No 6, 217-234
Abstract:
Abstract The fundamentals have been developed for a quantitative theory on the structure and dynamics of scientific networks. These fundamentals were conceived through a new vision of translation, defined mathematically as the derivative or gradient of the quality of the actors as a function of the coordinates for the space in which they perform. If we begin with the existence of a translation barrier, or an obstacle that must be overcome by the actors in order to translate, and if we accept the Maxwell-Boltzmann distribution as representative of the translating capacity of the actors, it becomes possible to demonstrate the known principle of “success breeds success.” We also propose two types of elemental translation: those which are irreverisble and those which are in equilibrium. In addition, we introduce the principle of composition, which enables, from elemental translations, the quantification of more complex ones.
Date: 1999
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/BF02457381 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:44:y:1999:i:2:d:10.1007_bf02457381
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/BF02457381
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().