Authors and Collaborator Groups Ranking Analysis on SYNASC using Centrality Measures

Abstract

The constant increase of published papers and participating authors in conferences has risen the interest in studies related to conference and co-authorship analysis techniques. There are numerous different studies in the literature, which offer distinct perspectives regarding the author ranking, impact, collaborations and research interests through various analysis techniques. In our research, we are introducing a new collaborator group ranking analysis based on four different centrality measures, using published papers data from the SYNASC conference during the 2005-2021 period, with which we construct dynamic co-authorship networks. By using the proposed approach, we aim to study collaboration properties at micro-level, which could also determine the impact of the authors and collaborator groups on the conference itself. The results which we obtained are highlighting that some of the authors and collaborator groups excelled in multiple ranking types, by having a constant top ranking, thus also suggesting a significant overall impact, developed over time, on the conference.