Isfahan University of Medical Sciences Health Information Management 1735-7853 22 1 2025 03 21 Analysis of Iranian Researchers’ Co-Authorship Networks in Asthma Research: Based on Social Network Analysis Analysis of Iranian Researchers’ Co-Authorship Networks in Asthma Research: Based on Social Network Analysis 35 43 33061 10.48305/him.2025.45208.1294 FA Roghaye Khasha Assistant Professor, Department of Industrial Engineering &amp; Management Systems, Amirkabir University of Technology, Tehran, Iran. 0000-0002-7460-0549 Nasrin Taherkhani Assistant Professor, Department of Information Technology Engineering, Payame Noor University (PNU), Tehran, Iran. 0000-0002-5467-5463 Journal Article 2025 05 06 Introduction: Asthma is a health hazard for all societies. Scientific research on asthma can make a significant contribution to offering new therapeutic approaches to improve patients’ conditions. The aim of this study is to examine the structure of Iranian researchers’ co-authorship network in the field of asthma.<br><br>Methods: The study was conducted in three stages. In the first stage, PubMed-indexed articles published by Iranian researchers in the field of asthma between 2015 and 2025 were collected. In the second stage, the co-authorship network was drawn based on the extracted information. In the third stage, both macro- and micro-level indicators were used to analyze the authors’ co-authorship networks. NetworkX and Gephi were utilized for analysis.<br><br>Results: The results indicate a density of 0.01002, a clustering coefficient of 0.916, a modularity of 0.735, and a network diameter of 14. Based on micro-level indicators, Masjedi had the highest degree centrality and Katz centrality. Masjedi and Mahdaviani had the highest betweenness centrality, Ansarian had the highest eigenvector centrality.<br><br>Conclusion: The low density, high clustering coefficient, and high modularity suggest that within this dispersed network, researchers in small, interconnected groups collaborate with one another. Introduction: Asthma is a health hazard for all societies. Scientific research on asthma can make a significant contribution to offering new therapeutic approaches to improve patients’ conditions. The aim of this study is to examine the structure of Iranian researchers’ co-authorship network in the field of asthma.<br><br>Methods: The study was conducted in three stages. In the first stage, PubMed-indexed articles published by Iranian researchers in the field of asthma between 2015 and 2025 were collected. In the second stage, the co-authorship network was drawn based on the extracted information. In the third stage, both macro- and micro-level indicators were used to analyze the authors’ co-authorship networks. NetworkX and Gephi were utilized for analysis.<br><br>Results: The results indicate a density of 0.01002, a clustering coefficient of 0.916, a modularity of 0.735, and a network diameter of 14. Based on micro-level indicators, Masjedi had the highest degree centrality and Katz centrality. Masjedi and Mahdaviani had the highest betweenness centrality, Ansarian had the highest eigenvector centrality.<br><br>Conclusion: The low density, high clustering coefficient, and high modularity suggest that within this dispersed network, researchers in small, interconnected groups collaborate with one another. https://him.mui.ac.ir/article_33061_3a90ee8e42cb24248e56383cd5349856.pdf