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作 者:杨杰 柳美君 步一[3] 赵星[4,5] 邓三鸿[1] Yang Alex J;Liu Meijun;Bu Yi;Zhao Star X.;Deng Sanhong(School of Information Management,Nanjing University,Nanjing 210023;Institute for Global Public Policy,Fudan University,Shanghai 200433;Department of Information Management,Peking University,Beijing 100871;Institute of Big Data(IBD),Fudan University,Shanghai 200433;National Institute of Intelligent Evaluation and Governance,Fudan University,Shanghai 200433)
机构地区:[1]南京大学信息管理学院,南京210023 [2]复旦大学全球公共政策研究院,上海200433 [3]北京大学信息管理系,北京100871 [4]复旦大学大数据研究院,上海200433 [5]复旦大学国家智能评价与治理实验基地,上海200433
出 处:《情报学报》2025年第3期325-338,共14页Journal of the China Society for Scientific and Technical Information
基 金:国家自然科学基金青年学生基础研究项目(博士研究生)“融合创新测度和生成模型的科学技术知识空间预测研究”(#724B2015)。
摘 要:在发展新质生产力的背景下,理解新颖性的知识组合以及跨学科的知识融合能否提升论文的技术影响具有重要意义。为此,本文通过真实知识组合分布和模拟知识组合分布的相对高阶指标测度引文组合新颖性,基于学科共被引矩阵和距离分布测度学科新颖性。考虑“直接-间接”双重视角,通过融合“论文-专利”引用网络和“论文-论文”深层引用网络,提出论文的专利直接被引量和专利间接被引量等指标,以测度论文的直接技术影响和间接技术影响。通过对微软学术数据库中约3000万篇科学论文的固定效应回归分析,本文发现引文组合新颖性能够同时正向促进论文的直接技术影响和间接技术影响,并且对间接技术影响的促进效应更强;而学科新颖性仅能正向促进论文的间接技术影响。进一步地,本文还发现在STEM(science,technology,engineering,mathematics)领域和大型合作团队中,引文组合新颖性和学科新颖性能够更有效地提升论文的双重技术影响,且学科新颖性对论文的间接技术影响的促进效应随年份存在下降趋势。Understanding whether combined novelty and interdisciplinary knowledge integration can enhance the technological impact of scientific papers is important for the development of new quality productive forces.To this end,this study employs Monte Carlo simulations to measure combinative novelty using higher-order metrics derived from real and simulated distributions of knowledge combinations.Disciplinary novelty is quantified using co-citation matrices and distributional distances across disciplines.Adopting a dual perspective of direct and indirect technological impact,this study integrates a“paper-to-patent”citation network with a deep“paper-to-paper”citation network to propose metrics such as patents directly and indirectly citing papers.These metrics capture the direct and indirect technological impact of scientific papers.Based on a fixed-effects regression analysis of 30 million scientific papers from the Microsoft Academic Database,the findings reveal that combinative novelty positively promotes both direct and indirect technological impacts of papers,with a stronger effect observed on indirect technological impact.By contrast,disciplinary novelty exclusively promotes indirect technological impact.Furthermore,the study identifies that,in STEM fields and large collaborative teams,both combinative and disciplinary novelty effectively enhance the dual technological impact of papers.Notably,the positive effect of disciplinary novelty on the indirect technological impact of papers exhibits a declining trend over time.
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