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

作　　者：张国帆 詹秀秀 刘闯[1] 张子柯 ZHANG Guofan;ZHAN Xiuxiu;LIU Chuang;ZHANG Zike(Research Center for Complexity Sciences,Hangzhou Normal University,Hangzhou 311121,China;College of Media and International Culture,Zhejiang University,Hangzhou 310058,China)

机构地区：[1]杭州师范大学复杂科学研究中心,浙江杭州311121 [2]浙江大学传媒与国际文化学院,浙江杭州310058

出　　处：《杭州师范大学学报（自然科学版）》2024年第4期359-368,共10页Journal of Hangzhou Normal University(Natural Science Edition)

基　　金：浙江省自然科学基金项目(LQ22F030008);杭州师范大学科研启动经费(2021QDL030).

摘　　要：国家自然科学基金项目是我国科研人员进行基础研究的重要资助来源,从科学学的角度理解国家自然科学基金对研究人员申请基金至关重要.在此背景下,本文对国家自然科学基金及其在Web of Science中资助的论文数据进行了详细分析,数据表明,自21世纪初以来,我国的国家自然科学基金项目及其资助的论文数量迅速增长.科研人员所获得的基金数量与其职业年龄、所发表的平均论文数等都有着很强的正相关性,学者在论文合作网络中的合作间隔、合作者数量等与其基金数量有着明显的相关性.同时对基金数量的地理位置分布和学者在论文合作网络中合作者的地理位置分布进行了统计.本文的研究旨在理解国家自然科学基金项目中学者的广泛共同特性,有助于进一步探索国家自然科学基金数据中科学学的理论与方法.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 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]