EconPapers    
Economics at your fingertips  
 

Italian sociologists: a community of disconnected groups

Aliakbar Akbaritabar (), Vincent Antonio Traag (), Alberto Caimo () and Flaminio Squazzoni ()
Additional contact information
Aliakbar Akbaritabar: German Centre for Higher Education Research and Science Studies (DZHW)
Vincent Antonio Traag: Leiden University
Alberto Caimo: Technological University Dublin
Flaminio Squazzoni: University of Milan

Scientometrics, 2020, vol. 124, issue 3, No 27, 2382 pages

Abstract: Abstract Examining coauthorship networks is key to study scientific collaboration patterns and structural characteristics of scientific communities. Here, we studied coauthorship networks of sociologists in Italy, using temporal and multi-level quantitative analysis. By looking at publications indexed in Scopus, we detected research communities among Italian sociologists. We found that Italian sociologists are fractured in many disconnected groups. The giant connected component could be split into five main groups with a mix of three main disciplinary topics: sociology of culture and communication (present in two groups), economic sociology (present in three groups) and general sociology (present in three groups). By applying an exponential random graph model, we found that collaboration ties are mainly driven by the research interests of these groups. Other factors, such as preferential attachment, gender and affiliation homophily are also important, but the effect of gender fades away once other factors are controlled for. Our research shows the advantages of multi-level and temporal network analysis in revealing the complexity of scientific collaboration patterns.

Keywords: Italian sociology; Coauthorship networks; Preferential attachment; Community detection; Exponential random graph model (ERGM) (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-020-03555-w 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:124:y:2020:i:3:d:10.1007_s11192-020-03555-w

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-020-03555-w

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 ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:124:y:2020:i:3:d:10.1007_s11192-020-03555-w