The evolution of scientific disciplines in applied sciences: dynamics and empirical properties of experimental physics

被引:0
作者
Mario Coccia
机构
[1] CNR,
[2] National Research Council of Italy,undefined
[3] Collegio Carlo Alberto,undefined
[4] Yale University,undefined
来源
Scientometrics | 2020年 / 124卷
关键词
Research fields; Scientific disciplines; Evolution of science; Dynamics of science; Scientific development; Scientific specialties; A19; C00; I23; L30;
D O I
暂无
中图分类号
学科分类号
摘要
How do scientific disciplines evolve? This is one of the fundamental problems of the dynamics of science. This study confronts this problem here by investigating the evolution of experimental physics, which plays a vital role for the progress of science in society. In particular, the main aim of this article is to analyze the structure and endogenous processes of experimental physics to explain and generalize, whenever possible, the properties of the evolution of applied sciences in the phase of continuous expansion of the universe of science. Empirical analysis here suggests the following properties of the dynamics of science: (a) scientific fission, the evolution of scientific disciplines generates a process of division into two or more research fields that evolve as autonomous entities, creating new disciplines of scientific specialization; (b) ambidextrous drivers of science, the evolution of scientific disciplines by scientific fission is due to scientific discoveries or new technologies; (c) higher growth rates of the scientific production are in new research fields of a scientific discipline rather than old ones; (d) average duration of the growth phase of scientific production in research fields is about 80 years, almost the period of one generation of scholars. Overall, then, this study explains, whenever possible, the relationships that support scientific change of disciplines to develop comprehensive properties of the evolution of science directed to economic, technological and social progress.
引用
收藏
页码:451 / 487
页数:36
相关论文
共 182 条
  • [1] Adams J(2012)The rise of research networks Nature 490 335-356
  • [2] Adams J(2013)The fourth age of research Nature 497 557-560
  • [3] Alexander J(1979)Paradigm Revision and Parsonianism Canadian Journal of Sociology 4 343-358
  • [4] Andersen H(1998)Characteristics of scientific revolutions Endeavour 22 3-6
  • [5] Ávila-Robinson A(2019)Co-evolutionary and systemic study on the evolution of emerging stem cell-based therapies Technological Forecasting and Social Change 138 324-339
  • [6] Islam N(1966)Social factors in the origins of new science: The case of psychology American Sociological Review 4 451-465
  • [7] Sengoku S(2009)Scientific discovery and topological transitions in collaboration networks Journal of Informetrics 3 210-221
  • [8] Ben-David J(2018)The Matthew effect in science funding PNAS 115 4887-4890
  • [9] Collins R(1927)The problem of originality in science The American Journal of Psychology 39 70-90
  • [10] Bettencourt LM(2011)Modeling science: Studying the structure and dynamics of science Scientometrics 89 347-348