A semantic geometry for uncovering paradigm dynamics via scientific publications

IF 5.1 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Jinchang Liu, Qingshan Zhou, Hongkan Chen, Yi Bu
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引用次数: 0

Abstract

Science advances not only by accumulating discovered patterns but by changing how new problems and solutions are expressed. While structural indicators track scholarly attention, they offer only an indirect proxy for the reorganization of meaning. We propose a semantic geometry based on the R–P–C (references, focal publication, and citing publications) framework to quantify how a publication positions itself relative to its knowledge base and diffusion. This geometry identifies three publication types: consolidating, exploratory, and balanced. Our results show that the semantic similarity and distance between a publication's knowledge base and diffusion serve as a semantic foundation for disruption, with novelty (atypical reference combinations) acting as an antecedent disturbance that triggers a semantic rupture. This is related to team size, where small teams preserve a higher potential for exploratory departures while large collaborations systematically align with paradigmatic consolidation. Crucially, this geometry explains why citation trajectories differ; consolidating research earns rapid recognition by lowering comprehension costs, while exploratory work faces high paradigm conversion costs that result in slower, more selective diffusion. Collectively, this R–P–C framework provides a robust instrument for monitoring the dynamics of scientific paradigms.

通过科学出版物揭示范式动力学的语义几何
科学的进步不仅通过积累发现的模式,而且通过改变新问题和解决方案的表达方式。虽然结构指标追踪学术关注,但它们只能间接代表意义重组。我们提出了一个基于R-P-C(参考文献、焦点出版物和引用出版物)框架的语义几何,以量化出版物相对于其知识库和传播的定位。这个几何图形确定了三种出版类型:合并、探索和平衡。我们的研究结果表明,出版物知识库和传播之间的语义相似性和距离是中断的语义基础,新颖性(非典型参考组合)作为触发语义断裂的先行干扰。这与团队规模有关,其中小团队保留了更高的探索性离开的潜力,而大型合作系统地与范例整合保持一致。至关重要的是,这种几何形状解释了为什么引用轨迹不同;整合研究通过降低理解成本获得快速认可,而探索性工作面临较高的范式转换成本,导致更慢、更有选择性的扩散。总的来说,这个R-P-C框架为监测科学范式的动态提供了一个强有力的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
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.
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