学科中的知识继承:量化参考文献的连续和远距离重复使用

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Hongyu Zhou, Ke Dong, Yikun Xia
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引用次数: 0

摘要

学科知识基础的增长、更新和衰减,为学科的鲜明特点和认识论提供了信息。在此,我们追踪了 19 个学科超过 45 年的知识库演变过程。我们引入了知识继承的概念,即不同年份之间参考文献集的重叠。我们讨论了学科知识继承的两种模式--继承和疏远。为了量化学科知识继承的状况和倾向,我们提出了两个指标:一个是描述知识库演变的指标,另一个是估计知识继承倾向的指标。在观察学科知识基础的连续性时,我们发现 STEM 学科和 SS&H 学科有不同的模式:前者继承知识基础的连续性较强,而后者继承知识基础的距离较远。我们还进一步发现了知识库演化的停滞或复兴现象,即较早的知识库在 10 年后不再衰减(如物理和数学),而是越来越多地被重复使用(如哲学)。关于继承先前知识库的倾向,我们观察到连续知识继承和远距离知识继承都一致上升。我们发现,知识继承可以揭示知识库演化轨迹的学科特征,以及学术交流新陈代谢和成熟度的有趣见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge inheritance in disciplines: Quantifying the successive and distant reuse of references

How the knowledge base of disciplines grows, renews, and decays informs their distinct characteristics and epistemology. Here we track the evolution of knowledge bases of 19 disciplines for over 45 years. We introduce the notation of knowledge inheritance as the overlap in the set of references between years. We discuss two modes of knowledge inheritance of disciplines—successive and distant. To quantify the status and propensity of knowledge inheritance for disciplines, we propose two indicators: one descriptively describes knowledge base evolution, and one estimates the propensity of knowledge inheritance. When observing the continuity in knowledge bases for disciplines, we show distinct patterns for STEM and SS&H disciplines: the former inherits knowledge bases more successively, yet the latter inherits significantly from distant knowledge bases. We further discover stagnation or revival in knowledge base evolution where older knowledge base ceases to decay after 10 years (e.g., Physics and Mathematics) and are increasingly reused (e.g., Philosophy). Regarding the propensity of inheriting prior knowledge bases, we observe unanimous rises in both successive and distant knowledge inheritance. We show that knowledge inheritance could reveal disciplinary characteristics regarding the trajectory of knowledge base evolution and interesting insights into the metabolism and maturity of scholarly communication.

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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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