论文标题
科学文献作为可稳定知识的演变
The evolution of scientific literature as metastable knowledge states
论文作者
论文摘要
确定科学中常见概念并确定何时出现新想法的问题是开放的。 MetaScience研究人员试图在科学研究的生命周期中正式化基本阶段的原则，确定如何在科学家和利益相关者之间转移知识，并了解如何产生新思想并实现新思想。在这里，我们将研究在新的研究方向前的科学知识状态建模为亚稳态状态，并将新概念的创建作为组合创新。我们发现，通过自然语言聚类和引文图分析的联合使用，我们可以预测思想的演变，从而以超越传统的引用和参考联系的方式将单个科学文章与过去和未来的概念联系起来。
The problem of identifying common concepts in the sciences and deciding when new ideas have emerged is an open one. Metascience researchers have sought to formalize principles underlying stages in the life-cycle of scientific research, determine how knowledge is transferred between scientists and stakeholders, and understand how new ideas are generated and take hold. Here, we model the state of scientific knowledge immediately preceding new directions of research as a metastable state and the creation of new concepts as combinatorial innovation. We find that, through the combined use of natural language clustering and citation graph analysis, we can predict the evolution of ideas over time and thus connect a single scientific article to past and future concepts in a way that goes beyond traditional citation and reference connections.
