{"title":"The drivers, features, and influence of first scientific collaboration among core scholars from Chinese library and information field","authors":"Xianzhe Peng, Jin Shi","doi":"10.1002/asi.24888","DOIUrl":null,"url":null,"abstract":"<p>Collaboration among scholars in scientific research is increasingly common, making it important to address how to recommend suitable collaborators, especially for their first cooperation. To address this issue, this study focuses on 1487 core scholars in the field of library and information science in China, and then analyzes the impact of academic differences between these scholars in their first collaboration by using the propensity matching score method. It uncovers potential driving factors for scholars to reach first collaborations, including similar research productivity, contrasting academic influence, aligned research directions, and distinct research focuses. Then, the distribution of features of three types of first cooperation demonstrates that if one or both partners publish the first paper in this collaboration, the collaborative relationship tends to be more enduring and stable. In addition, the subsequent collaboration of scholars and the change in their academic differences are related to the initial academic differences between the two parties in the first collaboration. These patterns can be used to improve the accuracy and effectiveness of the scholar recommendation mechanism, hence promoting research collaboration and knowledge exchange.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 11","pages":"1268-1287"},"PeriodicalIF":2.8000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Association for Information Science and Technology","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/asi.24888","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Collaboration among scholars in scientific research is increasingly common, making it important to address how to recommend suitable collaborators, especially for their first cooperation. To address this issue, this study focuses on 1487 core scholars in the field of library and information science in China, and then analyzes the impact of academic differences between these scholars in their first collaboration by using the propensity matching score method. It uncovers potential driving factors for scholars to reach first collaborations, including similar research productivity, contrasting academic influence, aligned research directions, and distinct research focuses. Then, the distribution of features of three types of first cooperation demonstrates that if one or both partners publish the first paper in this collaboration, the collaborative relationship tends to be more enduring and stable. In addition, the subsequent collaboration of scholars and the change in their academic differences are related to the initial academic differences between the two parties in the first collaboration. These patterns can be used to improve the accuracy and effectiveness of the scholar recommendation mechanism, hence promoting research collaboration and knowledge exchange.
期刊介绍:
The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes.
The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.