Quantifying simultaneous innovations in evolutionary medicine.

IF 1.3 4区 生物学 Q3 BIOLOGY Theory in Biosciences Pub Date : 2020-12-01 Epub Date: 2020-11-25 DOI:10.1007/s12064-020-00333-3
Deryc T Painter, Frank van der Wouden, Manfred D Laubichler, Hyejin Youn
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Abstract

To what extent do simultaneous innovations occur and are independently from each other? In this paper we use a novel persistent keyword framework to systematically identify innovations in a large corpus containing academic papers in evolutionary medicine between 2007 and 2011. We examine whether innovative papers occurring simultaneously are independent from each other by evaluating the citation and co-authorship information gathered from the corpus metadata. We find that 19 out of 22 simultaneous innovative papers do, in fact, occur independently from each other. In particular, co-authors of simultaneous innovative papers are no more geographically concentrated than the co-authors of similar non-innovative papers in the field. Our result suggests producing innovative work draws from a collective knowledge pool, rather than from knowledge circulating in distinct localized collaboration networks. Therefore, new ideas can appear at multiple locations and with geographically dispersed co-authorship networks. Our findings support the perspective that simultaneous innovations are the outcome of collective behavior.

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量化进化医学中的同步创新。
同时出现的创新在多大程度上是相互独立的?在本文中,我们使用了一个新颖的持久性关键词框架,在一个包含 2007 年至 2011 年间进化医学学术论文的大型语料库中系统地识别了创新。我们通过评估从语料库元数据中收集到的引文和合著者信息,考察了同时出现的创新论文是否相互独立。我们发现,在 22 篇同时发表的创新论文中,有 19 篇确实是相互独立的。特别是,同时发表的创新论文的合著者在地理位置上并不比该领域类似的非创新论文的合著者更集中。我们的研究结果表明,创新成果来自于集体知识库,而不是在不同的本地化合作网络中流通的知识。因此,新想法可能会出现在多个地点,并与地理上分散的共同作者网络一起出现。我们的研究结果支持这样一种观点,即同步创新是集体行为的结果。
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来源期刊
Theory in Biosciences
Theory in Biosciences 生物-生物学
CiteScore
2.70
自引率
9.10%
发文量
21
审稿时长
3 months
期刊介绍: Theory in Biosciences focuses on new concepts in theoretical biology. It also includes analytical and modelling approaches as well as philosophical and historical issues. Central topics are: Artificial Life; Bioinformatics with a focus on novel methods, phenomena, and interpretations; Bioinspired Modeling; Complexity, Robustness, and Resilience; Embodied Cognition; Evolutionary Biology; Evo-Devo; Game Theoretic Modeling; Genetics; History of Biology; Language Evolution; Mathematical Biology; Origin of Life; Philosophy of Biology; Population Biology; Systems Biology; Theoretical Ecology; Theoretical Molecular Biology; Theoretical Neuroscience & Cognition.
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