Exploring inequalities in co-authorship networks among Italian scholars

Social capital refers to the resources individuals can access through their network of relationships to achieve their goals or navigate challenges. This study examines the structure of collaboration networks in which Italian academics are embedded. Specifically, we analyze inequalities in co-authorship networks among Italian scholars in the fields of Statistics, Management, and General and Applied Sociology. We compiled a list of scholars and their attributes as of 2022 using data from the Ministry of University and Research. By linking each scholar to their Scopus ID, we collected co-authorship data from Scopus publications covering the period from 2012 to 2022. We utilize an egocentric network approach to build personal co-authorship networks. We calculate various structural and compositional indices—such as component ratios, network density, and diversity—to categorize these personal networks and conduct network clustering to identify different network typologies. Our results reveal variations in personal networks across the four disciplines, reflecting the specific academic norms and roles associated with each field.

Authors

Institutions

Publication Details

Journal
Rivista italiana di economia, demografia e statistica
Published
2026-02-26
DOI
https://doi.org/10.71014/sieds.v80i3.457
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring inequalities in co-authorship networks among Italian scholars

Viviana Amati, Gianpaolo Caprino
Rivista italiana di economia, demografia e statistica
scientometrics and bibliometrics research
article

Exploring inequalities in co-authorship networks among Italian scholars

Viviana Amati, Gianpaolo Caprino
article en

Abstract

Social capital refers to the resources individuals can access through their network of relationships to achieve their goals or navigate challenges. This study examines the structure of collaboration networks in which Italian academics are embedded. Specifically, we analyze inequalities in co-authorship networks among Italian scholars in the fields of Statistics, Management, and General and Applied Sociology. We compiled a list of scholars and their attributes as of 2022 using data from the Ministry of University and Research. By linking each scholar to their Scopus ID, we collected co-authorship data from Scopus publications covering the period from 2012 to 2022. We utilize an egocentric network approach to build personal co-authorship networks. We calculate various structural and compositional indices—such as component ratios, network density, and diversity—to categorize these personal networks and conduct network clustering to identify different network typologies. Our results reveal variations in personal networks across the four disciplines, reflecting the specific academic norms and roles associated with each field.

Rivista italiana di economia, demografia e statistica
University Carlo Cattaneo (IT), University of Milano-Bicocca (IT)
European Commission
Reduced inequalities
Openalex Percentile: Top 43%
scientometrics and bibliometrics research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.