摘要学科交叉融合是基础研究发展的重要趋势和方向,明确学科之间的交叉融合关系特征非常关键。本文基于Web of Science收录的中国学者1978—2017年发表的2627604篇论文的题录信息,运用文献计量和社会网络分析,对交叉融合的论文总量、比例特征、多样性、合著者数量特征进行文献计量分析,通过构建交叉融合网络,分析交叉融合的路径,探究网络的结构演化特征。研究发现,学科交叉融合是当前我国科学创新体系的普遍特征,接近50%的论文涉及学科间交叉融合;学科间融合以两个学科融合为主,但未来的交叉融合将包括比现在更复杂更加多样性的学科组合;交叉融合的广度随时间持续增加,融合的深度却时增时减,且存在路径依赖性;随着工程领域、计算机领域的快速发展,这两个领域在学科融合中发挥重要作用。本研究可以为政府、高校、企业及研究者制定相关政策、优化学科布局、培养交叉融合人才、厘清创新方向等提供借鉴。
曾德明, 于英杰, 文金艳, 王媛. 基于Web of Science分类的学科交叉融合演化特征分析[J]. 情报学报, 2020, 39(8): 872-884.
Zeng Deming, Yu Yingjie, Wen Jinyan, Wang Yuan. Characteristics and Evolution of the Trend of Interdisciplinarity in China: An Analysis Based on Web of Science Classifications. 情报学报, 2020, 39(8): 872-884.
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