Advancing Sick Sinus Syndrome Research in an Aging World: A Comprehensive Network Analysis

Aim: This study investigates global collaboration networks in Sick Sinus Syndrome (SSS) research from 2000 to 2023, focusing on key contributors and trends. As SSS becomes more prevalent in aging populations, understanding these networks is crucial for advancing research in the field. Method: Using 1,693 SSS-related publications from the Web of Science (WoS) Core Collection, network analysis was performed in Python (Version 3.10.5) via PyCharm. Macro-level indicators-network density, clustering coefficient, number of components, and average path length-were analyzed. Micro-level indicatorsdegree centrality, closeness centrality, and betweenness centrality-were used to assess key figures and institutions. Result: Collaboration increased over time, with higher network density and stronger local clusters, though fragmentation persisted. Key researchers, including Giuseppe Boriani (Italy) and Michael Glikson (Israel), were identified as central figures. The analysis revealed consistent regional and institutional collaboration patterns, reflecting the growing importance of global partnerships. Conclusion: This study highlights the significance of international collaboration in SSS research. While efforts have increased, fragmentation remains, indicating room for greater integration. Identifying influential researchers and institutions can help foster further collaboration and advance SSS treatment, especially as global aging trends drive the need for more research.