The structure and evolution of scientific collaboration in Serbian mathematical journals
Miloš Savić (),
Mirjana Ivanović (),
Miloš Radovanović (),
Zoran Ognjanović (),
Aleksandar Pejović () and
Tatjana Jakšić Krüger ()
Additional contact information
Miloš Savić: University of Novi Sad
Mirjana Ivanović: University of Novi Sad
Miloš Radovanović: University of Novi Sad
Zoran Ognjanović: Mathematical Institute of the Serbian Academy of Sciences and Arts
Aleksandar Pejović: Mathematical Institute of the Serbian Academy of Sciences and Arts
Tatjana Jakšić Krüger: Mathematical Institute of the Serbian Academy of Sciences and Arts
Scientometrics, 2014, vol. 101, issue 3, No 13, 1805-1830
Abstract:
Abstract Digital preservation of scientific papers enables their wider accessibility, but also provides a valuable source of information that can be used in a longitudinal scientometric study. The Electronic Library of the Mathematical Institute of the Serbian Academy of Sciences and Arts (eLib) digitizes the most prominent mathematical journals printed in Serbia. In this paper, we study a co-authorship network which represents collaborations among authors who published their papers in the eLib journals in an 80 year period (from 1932 to 2011). Such study enables us to identify patterns and long-term trends in scientific collaborations that are characteristic for a community which mainly consists of Serbian (Yugoslav) mathematicians. Analysis of connected components of the network reveals a topological diversity in the network structure: the network contains a large number of components whose sizes obey a power-law, the majority of components are isolated authors or small trivial components, but there is also a small number of relatively large, non-trivial components of connected authors. Our evolutionary analysis shows that the evolution of the network can be divided into six periods that are characterized by different intensity and type of collaborative behavior among eLib authors. Analysis of author metrics shows that betweenness centrality is a better indicator of author productivity and long-term presence in the eLib journals than degree centrality. Moreover, the strength of correlation between productivity metrics and betweenness centrality increases as the network evolves suggesting that even more stronger correlation can be expected in the future.
Keywords: Digital library; Serbian mathematical journals; Co-authorship network; Connected components; Evolutionary trends; Collaborative behaviour; Author metrics; 05C82; 91D30 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-014-1295-6 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:101:y:2014:i:3:d:10.1007_s11192-014-1295-6
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-014-1295-6
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 ().