| 孙毅.吉林省高校科研合作网络研究—— 基于2013—2023 年科研论文的分析[J].情报工程,2025,11(1):109-118 |
| 吉林省高校科研合作网络研究—— 基于2013—2023 年科研论文的分析 |
| Research Collaboration Network of Universities in Jilin Province:Analysis Based on Research Papers from 2013 to 2023 |
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| DOI： |
| 中文关键词: 吉林省高校；科研合作；社会网络；网络结构；网络演化 |
| 英文关键词: Universities in Jilin Province; Scientific Research Collaboration; Social Network; Network Structure; Network Evolution |
| 基金项目:吉林省高教学会高教科研课题“特色高水平大学建设背景下吉林省高校科研合作态势研究”（JGJX24C004）。 |
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| 中文摘要: |
| [目的/意义]区域内高校科研合作是其开展科学研究活动的主要方式之一，了解吉林省高校科研合作情况，有利于优化合作网络结构，促进区域协同发展。[方法/过程] 以2013―2023 年吉林省31 所高校的科研合作论文为研究样本，通过文献计量及社会网络分析的方法，构建科研合作网络，提取合作网络结构特征，分析其演化规律。[局限] 研究基于论文成果展开，未对科学研究中其他合作方式进行定量分析。[结果/结论] 吉林省高校广泛参与到了科研合作之中，合作网络具有小世界特性。合作网络节点中心度分布不均匀，马太效应明显。各高校处于不同的位置层次，合作网络具有明显的特色聚集性，地域聚集性不显著。演化过程中，合作频次逐年上升，合作深度不断提高，网络整体平衡性有所改善。 |
| 英文摘要: |
| [Objective/Significance] Scientific research collaboration among universities within a region is one of the essential ways in which they carry out scientific research activities. Understanding the collaboration among universities in Jilin Province is beneficial for optimizing the structure of collaboration network and promoting the development of research in the region.[Methods/Processes] Using research papers of 31 universities in Jilin Province, from 2013 to 2023, as research samples, this study constructs a research collaboration network through bibliometric and social network analysis, extracts the structural feature of the collaboration network, and analyzes its evolution laws. [Limitations] The study focuses on the research papers and does not quantitatively analyze other forms of collaboration in scientific research. [Results/Conclusions] Universities within Jilin Province have widely participated in scientific research collaboration, and the network of collaboration demonstrates the characteristics of small-world. The distribution of centrality in the collaboration network is uneven, with a pronounced Matthew effect. Universities being positioned at different levels, the collaboration network exhibits distinct characteristic clustering, while regional clustering is not significant. In evolution, the frequency of collaboration has increased，the collaboration has been enhanced, and the overall balance of the network has been improved. |
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