基于STM的科研资助对研究主题影响研究

Impact of Research Funding on Research Topics Based on STM

[目的/意义]科研资助是科学研究工作中有效的激励政策,分析与揭示科研资助影响作用,对促进国家科技发展具有重要的积极作用。[方法/过程]基于Web of Science收录的我国计算机与人工智能领域的科研论文,按照有/无科研资助对其进行划分,使用结构主题模型(STM)重点将科研资助对主题内容与主题契合度的影响进行分析。[结果/结论]研究发现,科研资助能够有效促进科技成果数量的增加,科研资助能够影响主题偏好和具体主题内容,科研资助与时间的交互作用会对主题的契合度产生积极的影响。

[Purpose/Significance]Research funding is an effective incentive policy in scientific work.Analyzing and revealing the impact of research funding has an important and positive role in promoting the development of national science and technology.[Method/Process]Based on computer and artificial intelligence papers of China collected in Web of Science,the papers were classified according to whether or not research funding was available.The structured topic model(STM)was used to focus on the impact of research funding on the topical content and topical prevalence.[Result/Conclusion]The results show that research funding can promote the increase in the number of scientific achievements;Research funding can have an impact on the topic preference and topic content;Interaction between research funding and time will have a positive impact on topic prevalence.