SUPR
Analyzing gender and academic group sizes in cop-authorship networks
Dnr:

NAISS 2025/22-289

Type:

NAISS Small Compute

Principal Investigator:

Davide Vega

Affiliation:

Uppsala universitet

Start Date:

2025-02-26

End Date:

2026-03-01

Primary Classification:

10201: Computer Sciences

Webpage:

Allocation

Abstract

Gender diversity may play an important role in shaping academic collaboration, career advancement, and access to mentorship opportunities. This study investigates whether gender diversity and academic group size influence the professional development of researchers by analyzing co-authorship networks in the field of network science over the past nine years. During the project we plan to identify research teams and collaboration patterns across academic disciplines by building and analyzing attributed temporal weighted co-authorship networks. Our analysis seeks to uncover patterns and trends in academic collaboration groups, providing insights into how and in which way they succeed/evolve focusing on gender diversity.