论文标题
科学科学中的预测方法和应用：一项调查
Prediction Methods and Applications in the Science of Science: A Survey
论文作者
论文摘要
科学科学已成为一个流行的话题，吸引了研究界的热爱。数据分析技术和随时可用的学术数据的开发使数据驱动预测的探索在寻找科学影响的趋势方面起着关键作用。在本文中，我们分析了科学科学中数据驱动预测中的方法和应用，并讨论其意义。首先，我们介绍背景并回顾科学科学的当前状态。其次，我们根据纸张计数回顾了数据驱动的预测，并研究了该领域的研究问题。然后，我们讨论预测学者影响的方法，并分析了在协作网络中促进学术合作的不同方法。本文还讨论了开放问题和现有挑战，并提出了潜在的研究方向。
Science of science has become a popular topic that attracts great attentions from the research community. The development of data analytics technologies and the readily available scholarly data enable the exploration of data-driven prediction, which plays a pivotal role in finding the trend of scientific impact. In this paper, we analyse methods and applications in data-driven prediction in the science of science, and discuss their significance. First, we introduce the background and review the current state of the science of science. Second, we review data-driven prediction based on paper citation count, and investigate research issues in this area. Then, we discuss methods to predict scholar impact, and we analyse different approaches to promote the scholarly collaboration in the collaboration network. This paper also discusses open issues and existing challenges, and suggests potential research directions.
