Using machine learning to predict the evolution of physics research

• المؤلفون الرئيسيون: Liu, Wenyuan, Saganowski, Stanisław, Kazienko, Przemysław, Cheong, Siew Ann
• مؤلفون آخرون: School of Physical and Mathematical Sciences
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Science::Physics; SciSci; Knowledge Evolution
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/146342

The advancement of science, as outlined by Popper and Kuhn, is largely qualitative, but with bibliometric data, it is possible and desirable to develop a quantitative picture of scientific progress. Furthermore, it is also important to allocate finite resources to research topics that have the growt...