Academic influence and invisible colleges through editorial board interlocking in communication sciences: a social network analysis of leading journals
Manuel Goyanes () and
Luis de-Marcos
Additional contact information
Manuel Goyanes: Carlos III University
Luis de-Marcos: University of Alcalá
Scientometrics, 2020, vol. 123, issue 2, No 11, 811 pages
Abstract:
Abstract Editorial boards (EBs) play a crucial role in setting journals’ scientific output, generally determining what legitimate science is and thus establishing a benchmark on what should be published. EB members are generally prominent scholars in a given discipline and, as such, are habitually connected to several journals’ EB, a phenomenon known as editorial board interlocking. This exploratory study analyses the EB interlocking in a sample of communication journals. Specifically, we apply social network analysis to investigate how 41 JCR (Journal Citation Report) communication journals are connected through EB interlocking. Using graph theory and social network analysis, we identified the scholarly journal network, the high influential journals and scholars, and the cohesive subgroups (i.e. invisible colleges) within the communication field. Our findings shed some important light on the network structure of EBs in communication sciences, arguing that the exploration of editorial interlocks is a complemental approach to understand academic journals’ influence within academic fields.
Keywords: Editorial boards interlocking; Communication sciences; Journals; Social network analysis; JCR; Diversity (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-020-03401-z 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:123:y:2020:i:2:d:10.1007_s11192-020-03401-z
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-020-03401-z
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 ().