Exploring Collaborative Dynamics among Researchers at the Italian Institute of Technology: An ERGM Approach

Abstract

Abstract In today’s academic landscape, it is essential to continuously evaluate research centers, including assessing scientific output and inter-researcher collaboration. This paper delves into the intricate dynamics of collaboration among researchers at the Italian Institute of Technology, one of Italy’s leading research organizations, employing an Exponential Random Graph Model (ERGM) approach. Our analysis enabled the identification of specific network statistics and the social and demographic characteristics of authors that significantly influence the structure of the scientific collaboration network. The analysis encompasses 1,469 researchers based at the Institute’s headquarters in 2020, examining collaborative connections established through joint publications. Specifically, through the lens of an ERGM, this study examines the interplay between sex and research areas - Computational Sciences, Life Technologies, Nanomaterials, and Robotics - shedding light on how these factors shape collaborative relationships. By bridging the gap between network and non-network characteristics, this research contributes to the literature on network formation, one of the most promising areas within knowledge and innovation networks. The findings hold potential implications for the formulation of research policies aimed at promoting equity and fostering a more inclusive and synergistic research community.