arXivDaily arXiv每日学术速递 周一至周五更新
北美退伍军人节(Veterans Day),12 日无更新
arXiv 1503.03287cs.DLphysics.soc-ph
收藏

利用书籍模拟科学的结构和动力学

Modelling the Structure and Dynamics of Science Using Books

Michael Ginda, Andrea Scharnhorst, Katy Borner

摘要:

科学研究是知识型经济的主要推动力。收入、健康和福祉取决于科学进步。我们对科学事业的内部运作了解得越好,我们就能更好地促进、管理、引导和利用科学进步。有各种指标和方法可以评估和监测研究活动,从计算研究人员、机构或国家的声誉到分析和可视化全球脑循环。然而,学术界、工业界或政府的关键决策者很少使用科学预测模型来提高学术工作的质量和影响力。我们提出了一种新颖的“书目文献计量学”分析,我们适用于大量的书籍相关的科学建模。我们解释了数据汇集以及数据分析和可视化的结果。在最后一节中,我们讨论了如何分析描述不同建模方法的书籍可以为新的科学模型的设计提供信息。

英文摘要:

Scientific research is a major driving force in a knowledge based economy. Income, health and wellbeing depend on scientific progress. The better we understand the inner workings of the scientific enterprise, the better we can prompt, manage, steer, and utilize scientific progress. Diverse indicators and approaches exist to evaluate and monitor research activities, from calculating the reputation of a researcher, institution, or country to analyzing and visualizing global brain circulation. However, there are very few predictive models of science that are used by key decision makers in academia, industry, or government interested to improve the quality and impact of scholarly efforts. We present a novel 'bibliographic bibliometric' analysis which we apply to a large collection of books relevant for the modelling of science. We explain the data collection together with the results of the data analyses and visualizations. In the final section we discuss how the analysis of books that describe different modelling approaches can inform the design of new models of science.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑