杭州师范大学学报（自然科学版）2024，Vol.23Issue(4)：359-368,10.DOI:10.19926/j.cnki.issn.1674-232X.2023.02.282
基于合作网络分析的科研项目数据实证研究
An Empirical Study of Research Project Data Based on Cooperative Network Analysis
摘要
Abstract
The National Natural Science Foundation(NNSF)serves as a crucial source of funding for basic research,and comprehending it from a scientific perspective is essential for researchers in China to seek financial support.Under such background,the study conducts an empirical analysis of research project data based on NNSF and the papers funded by it in the Web of Science database.The findings reveal a rapid increase in both the number of NNSF projects and funded papers since the 21st century.Furthermore,the analysis demonstrates that researchers'ability to acquire funding shows a strong positive correlation with their professional experience and the average number of papers published.Additionally,it observes significant correlations between the cooperation interval,number of collaborators within scholars'paper cooperation networks,and their number of funding.Moreover,the study performs statistical analyses to explore geographical distribution patterns of funds as well as collaborators within scholars'paper cooperation networks.Overall,this research aims to uncover common characteristics among scholars involved in NNSF projects while facilitating further exploration into theories and methodologies related to NNSF data.关键词
科研合作网络/数据挖掘/实证分析/网络结构Key words
scientific research cooperative network/data mining/empirical analysis/network structure分类
信息技术与安全科学引用本文复制引用
张国帆,詹秀秀,刘闯,张子柯..基于合作网络分析的科研项目数据实证研究[J].杭州师范大学学报（自然科学版）,2024,23(4):359-368,10.基金项目
浙江省自然科学基金项目(LQ22F030008) （LQ22F030008）
杭州师范大学科研启动经费(2021QDL030). 基金项目数量 （2021QDL030）
