{"title":"From communicative to cultural memory: The role of collaboration in the diffusion of scientific innovation","authors":"Yujia Zhai , Ruolan Zhuang , Yue Liu , Jinwen Zhang , Ying Ding","doi":"10.1016/j.joi.2025.101699","DOIUrl":null,"url":null,"abstract":"<div><div>By integrating theories of collective memory and innovation diffusion, we construct a citation-based scientific innovation collective memory network and define four types of authors: Original authors, Adopters, Collaborators, and Converters. Additionally, we introduce two new quantitative metrics—the Adopter Conversion Rate (CRA) and Author Conversion Rate (CRC)—to assess the role of collaboration in the diffusion of scientific innovations. Using datasets from APS, Medline, and DBLP, we selected the top 100 most-cited papers published over 20 years ago as our research samples. Through a comprehensive analysis of citation patterns, scientific collaboration networks, and conversion rates, we uncover the pathways and mechanisms of knowledge diffusion in the scientific community. Our findings reveal that scientific research collaboration not only accelerates the diffusion of scientific innovations from their inception but also, as trust-based relationships develop and strengthen, facilitates efficient knowledge sharing and the growth of innovative activities. Furthermore, collaboration facilitates the transition from communicative memory to cultural memory, ensuring the long-term preservation and transmission of scientific knowledge.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101699"},"PeriodicalIF":3.4000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Informetrics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S175115772500063X","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
By integrating theories of collective memory and innovation diffusion, we construct a citation-based scientific innovation collective memory network and define four types of authors: Original authors, Adopters, Collaborators, and Converters. Additionally, we introduce two new quantitative metrics—the Adopter Conversion Rate (CRA) and Author Conversion Rate (CRC)—to assess the role of collaboration in the diffusion of scientific innovations. Using datasets from APS, Medline, and DBLP, we selected the top 100 most-cited papers published over 20 years ago as our research samples. Through a comprehensive analysis of citation patterns, scientific collaboration networks, and conversion rates, we uncover the pathways and mechanisms of knowledge diffusion in the scientific community. Our findings reveal that scientific research collaboration not only accelerates the diffusion of scientific innovations from their inception but also, as trust-based relationships develop and strengthen, facilitates efficient knowledge sharing and the growth of innovative activities. Furthermore, collaboration facilitates the transition from communicative memory to cultural memory, ensuring the long-term preservation and transmission of scientific knowledge.
期刊介绍:
Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.