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中美知识融合网络与知识扩散网络对比

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[研究目的]当前借助引文关系开展知识流动规律分析的研究已经十分常见,但对于知识的融合与扩散过程的研究还不够深入.从复杂网络视角分析中美学者所创造知识的流动规律有助于厘清两地的科学生产力及知识流动的差异.[研究方法]通过引用关系构建知识融合级联网络和知识扩散级联网络,采用复杂网络分析法从网络数量特征、网络结构特征和级联网络国别等特征维度对中美知识融合网络和知识扩散网络进行对比分析.[研究结论]研究发现,纯美国学者组发表文献不论是知识融合级联网络还是知识扩散级联网络规模均更大,形成的知识融合级联网络密度、接近中心性和PageRank平均数更大.物理学相比于社会学,其文献的知识融合级联网络和知识扩散级联网络呈现更加稠密、节点联系更加紧密、中心性更强的结构.本研究有助于深化对知识融合与知识扩散的认识,加深对中美两国科研生产力差异的理解.
Knowledge Integration Network and Knowledge Diffusion Network Between China and the United States of America
[Research purpose]Research on knowledge flow pattern analysis via citation relationships is wildly carried out,while explora-tion on the integration and diffusion processes of knowledge is not sufficient enough.Analyzing the flow patterns of knowledge created by Chinese and American scholars from the perspective of complex networks can help understand the differences in scientific productivity and knowledge flow between China and the U.S.[Research method]By building reference cascade networks and citation cascade networks via using citation relationships,this study conducts a comparative analysis of Chinese and U.S.knowledge integration networks and knowledge diffusion networks in terms of network quantitative characteristics,network structural features,and cascade country characteris-tics.[Research conclusion]It is found that U.S.scholars published a larger cascade of literature.The knowledge integration cascade network of the U.S.category has higher density,greater proximity centrality and greater wean value of Pagemak.Compared to the sociol-ogy literature,the physics literature cascade presents a denser,more connected,and more centered structure.This research contributes to a deeper understanding of knowledge integration and diffusion,enhancing the understanding of the differences in scientific productivity be-tween China and the U.S.

scientific literaturecitation cascade networkcomplex networkknowledge integrationknowledge diffusionscientific pro-ductivityChinathe United States of America

王雪莹、刘珊、陈洪侃、步一

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北京大学信息管理系 北京 100871

科学文献 引文级联网络 复杂网络 知识融合 知识扩散 科学生产力 中国 美国

国家自然科学基金国家自然科学基金教育部人文社会科学研究青年基金

721040077217401621YJC870001

2024

10.3969/j.issn.1002-1965.2024.05.022

情报杂志
陕西省科学技术信息研究所

情报杂志

CSTPCDCSSCICHSSCD北大核心
影响因子：1.502
ISSN：1002-1965
年,卷(期)：2024.43(5)
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