ANDRZEJ PȨKALSKI NETWORKS OF SCIENTIFIC INTERESTS WITH INTERNAL DEGREES OF FREEDOM THROUGH SELF-CITATION ANALYSIS

Marcel Ausloos, R. Lambiotte (), A. Scharnhorst () and I. Hellsten ()
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R. Lambiotte: Group of Researchers for Applications of Physics in Economy and Sociology, GRAPES, B5a Sart-Tilman, B-4000 Liège, Belgium
A. Scharnhorst: The Virtual Knowledge Studio for the Humanities and Social, Sciences at the Royal Netherlands Academy of Arts and Sciences, VKS-KNAW, Cruqiusweg 31, 1019 AT Amsterdam, The Netherlands
I. Hellsten: Faculty of Earth and Life Sciences (FALW), De Boelelaan 1085, 1081HV Amsterdam, The Netherlands

International Journal of Modern Physics C (IJMPC), 2008, vol. 19, issue 03, 371-384

Abstract: Old and recent theoretical works by Andrzej Pȩkalski (APE) are recalled as possible sources of interest for describing network formation and clustering in complex (scientific) communities, through self-organization and percolation processes. Emphasis is placed on APE self-citation network over four decades. The method is that used for detecting scientists' field mobility by focusing on author's self-citation, co-authorships and article topics networks as in Refs. 1 and 2. It is shown that APE's self-citation patterns reveal important information on APE interestforresearch topics over time as well as APE engagementondifferent scientific topics andindifferent networks of collaboration. Its interesting complexity results from "degrees of freedom" and external fields leading to so called internal shock resistance. It is found that APE network of scientific interests belongs to independent clusters and occurs through rare or drastic events as in irreversible "preferential attachment processes", similar to those found in usual mechanics and thermodynamics phase transitions.

Keywords: Scientometry; sex male; network; publications; citations; optimal percolation method (search for similar items in EconPapers)
Date: 2008
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DOI: 10.1142/S0129183108012224

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