{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:34:15Z","timestamp":1760060055605,"version":"build-2065373602"},"reference-count":44,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Humanities and Social Science Fund of Ministry of Education","award":["24YJCZH417","L23CTQ002","71904022","72074039"],"award-info":[{"award-number":["24YJCZH417","L23CTQ002","71904022","72074039"]}]},{"name":"Humanities and Social Sciences Planning Fund of Liaoning Province","award":["24YJCZH417","L23CTQ002","71904022","72074039"],"award-info":[{"award-number":["24YJCZH417","L23CTQ002","71904022","72074039"]}]},{"name":"National Natural Science Foundation of China","award":["24YJCZH417","L23CTQ002","71904022","72074039"],"award-info":[{"award-number":["24YJCZH417","L23CTQ002","71904022","72074039"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BDCC"],"abstract":"<jats:p>With the accelerating globalization and rapid development of science and technology, scientific collaboration has become a key driver of knowledge production, yet its patterns vary significantly across disciplines. This study aims to explore the disciplinary differences in scholars\u2019 scientific collaboration patterns and their underlying mechanisms. Data were collected from the China National Knowledge Infrastructure (CNKI) database, covering papers from four disciplines: mathematics, mechanical engineering, philosophy, and sociology. Using social network analysis, we examined core network metrics (degree centrality, neighbor connectivity, clustering coefficient) in collaboration networks, analyzed collaboration patterns across scholars of different academic ages, and compared the academic age distribution of collaborators and network characteristics across career stages. Key findings include the following. (1) Mechanical engineering exhibits the highest and most stable clustering coefficient (mean 0.62) across all academic ages, reflecting tight team collaboration, with degree centrality increasing fastest with academic age (3.2 times higher for senior vs. beginner scholars), driven by its reliance on experimental resources and skill division. (2) Philosophy shows high degree centrality in early career stages (mean 0.38 for beginners) but a sharp decline in clustering coefficient in senior stages (from 0.42 to 0.17), indicating broad early collaboration but loose later ties due to individualized knowledge production. (3) Mathematics scholars prefer collaborating with high-centrality peers (higher neighbor connectivity, mean 0.51), while sociology shows more inclusive collaboration with dispersed partner centrality.<\/jats:p>","DOI":"10.3390\/bdcc9080201","type":"journal-article","created":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T10:48:08Z","timestamp":1754304488000},"page":"201","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring Scientific Collaboration Patterns from the Perspective of Disciplinary Difference: Evidence from Scientific Literature Data"],"prefix":"10.3390","volume":"9","author":[{"given":"Jun","family":"Zhang","sequence":"first","affiliation":[{"name":"Graduate School of Education, Dalian University of Technology, Dalian 116023, China"}]},{"given":"Shengbo","family":"Liu","sequence":"additional","affiliation":[{"name":"Graduate School of Education, Dalian University of Technology, Dalian 116023, China"}]},{"given":"Yifei","family":"Wang","sequence":"additional","affiliation":[{"name":"Graduate School of Education, Dalian University of Technology, Dalian 116023, China"}]}],"member":"1968","published-online":{"date-parts":[[2025,8,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1007\/s11192-019-03330-6","article-title":"The role of research outcome quality in the relationship between university research collaboration and technology transfer: Empirical results from China","volume":"122","author":"Sun","year":"2020","journal-title":"Scientometrics"},{"key":"ref_2","first-page":"101171","article-title":"Gender-based homophily in research: A large-scale study of man-woman collaboration","volume":"15","author":"Kwiek","year":"2021","journal-title":"J. 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