Speaker
Description
Analyzing co-authorship relationships provides valuable insights into collaboration patterns and their impact on research productivity and performance. This study focuses on the co-authorship relationships among academics affiliated with Italian universities in the fields of statistics, management, and sociology.
We compiled a comprehensive list of Italian scholars and their attributes, including gender, role, academic sector, university, and department, using data from the Ministry of University and Research. After linking each scholar to their Scopus ID, we collected co-authorship data by downloading all their publications from the Scopus online bibliographic archive, covering the period from 2012 to 2022. We use an ego-network approach to analyze the scientific collaboration networks in which each Italian scholar is embedded. To characterize personal networks, we employ structural and compositional indices, such as component ratios, density, and diversity, and apply network clustering to identify different types of networks. Additionally, we investigate interdisciplinary collaboration and its effects on knowledge production and dissemination.
Keywords/Topics
Co-authorship networks; Ego-network; Italian scholars; Weighted network data
