Scientific collaboration dynamics in a national scientific system.

Autor/inn/en	Ferligoj, Anuška; Kronegger, Luka; Mali, Franc; Snijders, Tom A. B.; Doreian, Patrick
Titel	Scientific collaboration dynamics in a national scientific system.
Quelle	In: Scientometrics, (2015) 3, S.985-1012 PDF als Volltext Verfügbarkeit
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0138-9130
DOI	10.1007/s11192-015-1585-7
Schlagwörter	Scientific collaboration; Co-authorship networks; Network dynamics; Bibliometry; Small world; Preferential attachment; Stochastic-actor-based model; SIENA; Cluster analysis
Abstract	Abstract This paper examines the collaboration structures and dynamics of the co-authorship network of all Slovenian researchers. Its goal is to identify the key factors driving collaboration and the main differences in collaboration behavior across scientific fields and disciplines. Two approaches to modelling network dynamics are combined in this paper: the small-world model and the mechanism of preferential attachment, also known as the process of cumulative advantage. Stochastic-actor-based modelling of co-authorship network dynamics uses data for the complete longitudinal co-authorship networks for the entire Slovenian scientific community from 1996 to 2010. We confirmed the presence of clustering in all fields and disciplines. Preferential attachment is far more complex than a single global mechanism. There were two clear distinctions regarding collaboration within scientific fields and disciplines. One was that some fields had an internal national saturation inhibiting further collaboration. The second concerned the differential impact of collaboration with scientists from abroad on domestic collaboration. In the natural, technical, medical, and biotechnical sciences, this promotes collaboration within the Slovenian scientific community while in the social sciences and humanities this inhibits internal collaboration.
Erfasst von	OLC
Update	2023/2/05