TY - JOUR
T1 - Italian sociologists
T2 - a community of disconnected groups
AU - Akbaritabar, Aliakbar
AU - Traag, Vincent Antonio
AU - Caimo, Alberto
AU - Squazzoni, Flaminio
N1 - Publisher Copyright:
© 2020, Akadémiai Kiadó, Budapest, Hungary.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - 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.
AB - 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.
KW - Coauthorship networks
KW - Community detection
KW - Exponential random graph model (ERGM)
KW - Italian sociology
KW - Preferential attachment
UR - https://www.scopus.com/pages/publications/85086400929
U2 - 10.1007/s11192-020-03555-w
DO - 10.1007/s11192-020-03555-w
M3 - Article
SN - 0138-9130
VL - 124
SP - 2361
EP - 2382
JO - Scientometrics
JF - Scientometrics
IS - 3
ER -