{"title":"Three decades of collaboration in rheumatology: a comprehensive co-authorship network analysis (1994-2023).","authors":"Naruaki Ogasawara","doi":"10.5114/reum/200529","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>This study investigated the evolution of collaborative research in rheumatology over 3 decades (1994-2023), utilizing co-authorship network analysis to uncover key contributors, structural trends, and global collaboration patterns. The analysis aimed to provide insights into the dynamics of research cooperation and the factors influencing its development.</p><p><strong>Material and methods: </strong>A total of 31,231 publications on rheumatology, indexed in the Web of Science (WoS) Core Collection, were analyzed. The co-authorship network was constructed using Python (Version 3.10.5) in the PyCharm environment (Version 2022.1.3). Macro-level metrics, including network density, clustering coefficient, components, and average path length, were evaluated alongside micro-level indicators such as degree centrality, closeness centrality, and betweenness centrality to characterize the network's structure and dynamics. Additionally, temporal trends were examined to assess changes in collaboration patterns over time.</p><p><strong>Results: </strong>The analysis revealed an expansion in publication volume and collaboration over the 3 decades, with persistent fragmentation evidenced by low network density (below 0.0005) and numerous disconnected components. The number of active researchers and institutions participating in collaborations increased significantly, contributing to enhanced regional cooperation. Key researchers, including Nicolino Ruperto, Josef S. Smolen, and Yoshiya Tanaka, emerged as central figures, consistently facilitating knowledge exchange and collaboration. Localized, tight-knit collaboration patterns, indicated by high clustering coefficients, persisted despite limited global integration. These findings suggest that while rheumatology research networks are becoming more inclusive, significant disparities in connectivity across regions remain.</p><p><strong>Conclusions: </strong>This comprehensive analysis highlights the dual trends of growth and fragmentation in rheumatology research collaboration. While local collaborations thrive, broader integration remains a challenge, underscoring the need for initiatives fostering global connectivity in the research community. Enhancing international collaboration and reducing resource gaps between regions could accelerate advancements in rheumatology research, benefiting both the scientific community and patients worldwide.</p>","PeriodicalId":21312,"journal":{"name":"Reumatologia","volume":"63 2","pages":"68-80"},"PeriodicalIF":1.7000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12138997/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reumatologia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5114/reum/200529","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"RHEUMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: This study investigated the evolution of collaborative research in rheumatology over 3 decades (1994-2023), utilizing co-authorship network analysis to uncover key contributors, structural trends, and global collaboration patterns. The analysis aimed to provide insights into the dynamics of research cooperation and the factors influencing its development.
Material and methods: A total of 31,231 publications on rheumatology, indexed in the Web of Science (WoS) Core Collection, were analyzed. The co-authorship network was constructed using Python (Version 3.10.5) in the PyCharm environment (Version 2022.1.3). Macro-level metrics, including network density, clustering coefficient, components, and average path length, were evaluated alongside micro-level indicators such as degree centrality, closeness centrality, and betweenness centrality to characterize the network's structure and dynamics. Additionally, temporal trends were examined to assess changes in collaboration patterns over time.
Results: The analysis revealed an expansion in publication volume and collaboration over the 3 decades, with persistent fragmentation evidenced by low network density (below 0.0005) and numerous disconnected components. The number of active researchers and institutions participating in collaborations increased significantly, contributing to enhanced regional cooperation. Key researchers, including Nicolino Ruperto, Josef S. Smolen, and Yoshiya Tanaka, emerged as central figures, consistently facilitating knowledge exchange and collaboration. Localized, tight-knit collaboration patterns, indicated by high clustering coefficients, persisted despite limited global integration. These findings suggest that while rheumatology research networks are becoming more inclusive, significant disparities in connectivity across regions remain.
Conclusions: This comprehensive analysis highlights the dual trends of growth and fragmentation in rheumatology research collaboration. While local collaborations thrive, broader integration remains a challenge, underscoring the need for initiatives fostering global connectivity in the research community. Enhancing international collaboration and reducing resource gaps between regions could accelerate advancements in rheumatology research, benefiting both the scientific community and patients worldwide.
本研究调查了过去30年(1994-2023)风湿病合作研究的演变,利用合作作者网络分析来揭示关键贡献者、结构趋势和全球合作模式。该分析旨在深入了解科研合作的动态及其发展的影响因素。材料和方法:对Web of Science (WoS) Core Collection收录的31,231篇风湿病学出版物进行分析。共同作者网络是在PyCharm环境(版本2022.1.3)中使用Python(版本3.10.5)构建的。宏观层面的指标,包括网络密度、聚类系数、成分和平均路径长度,与微观层面的指标,如度中心性、亲密中心性和中间中心性一起进行评估,以表征网络的结构和动态。此外,还检查了时间趋势,以评估协作模式随时间的变化。结果:分析显示,在过去的30年里,出版物数量和合作都在扩大,持续的碎片化表现为低网络密度(低于0.0005)和大量断开的组件。积极参与合作的研究人员和机构数量显著增加,有助于加强区域合作。包括Nicolino Ruperto、Josef S. Smolen和Yoshiya Tanaka在内的关键研究人员成为核心人物,不断促进知识交流与合作。尽管有限的全球整合,高聚类系数表明的局部紧密协作模式仍然存在。这些发现表明,虽然风湿病研究网络变得更具包容性,但各地区之间的连通性仍然存在显著差异。结论:这一综合分析突出了风湿病研究合作的增长和分裂的双重趋势。虽然地方合作蓬勃发展,但更广泛的整合仍然是一个挑战,这强调了在研究界促进全球连通性的举措的必要性。加强国际合作和减少地区之间的资源差距可以加速风湿病研究的进展,使科学界和全世界的患者都受益。