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Detecting the emergence of technologies and the evolution and co-development trajectories in science (DETECTS): a 'burst' analysis-based approach

机译:检测技术的出现以及科学的发展和共同发展轨迹(DETECTS):一种基于“突发”分析的方法

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This work aims to detect the emergence of science and technology fields and to characterise science and technology trajectories. It proposes a new data mining approach, called 'DETECTS', for the identification of those research and innovative activities whose intensity increases sharply compared to previous levels and to other developments. This approach also allows monitoring the extent to which field and topic-specific activities further accelerate, stabilise or abate, and the time it takes for such dynamics to unfold. By applying the 'DETECTS' methodology on data from scientific publications and patents, this work sheds light on: the structure, articulation and relevance of the most important scientific and technological developments occurred during the period 1990-2011; the extent to which new fields arise from the cross-fertilisation of different technologies; the way in which advancements in science relate to technological progress; and the areas where future developments are likely to occur in the short and medium term. Results further suggest, somewhat unexpectedly, that in some focal technology fields considered, the acceleration in the development of science seems to closely follow the acceleration in the development of technologies, and not vice versa.
机译:这项工作旨在发现科学技术领域的兴起并描绘科学技术轨迹。它提出了一种新的数据挖掘方法,称为“ DETECTS”,用于识别那些与以前的水平和其他发展相比强度急剧增加的研究和创新活动。这种方法还允许监视领域和特定主题活动进一步加速,稳定或减弱的程度,以及这种动态展开所花费的时间。通过对来自科学出版物和专利的数据采用“检测”方法,这项工作揭示了:1990-2011年期间发生的最重要的科学技术发展的结构,表达方式和相关性;不同技术的交叉应用在多大程度上产生了新领域;科学进步与技术进步相关的方式;以及短期和中期可能出现未来发展的领域。结果进一步出乎意料地表明,在所考虑的某些重点技术领域中,科学发展的加速似乎紧随技术发展的加速,而不是相反。

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