中国科技期刊研究 ›› 2026, Vol. 37 ›› Issue (5): 743-753. doi: 10.11946/cjstp.202603240447

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公众参与视域下中国英文科技期刊的跨群体扩散:用户身份识别与中心性分析

王媛媛1()(), 陈奕然1, 蔡佳瑶1, 高源2)()(), 张洋1   

  1. 1) 中山大学信息管理学院,广东省广州市番禺区外环东路132号 510006
    2) 五邑大学马克思主义学院,广东省江门市蓬江区迎宾大道中99号 529020
  • 收稿日期:2026-03-24 修回日期:2026-05-24 出版日期:2026-05-25 发布日期:2026-06-29
  • 作者简介:

    王媛媛(ORCID:0000-0003-0288-9053),博士,助理研究员,E-mail:

    陈奕然,本科生

    蔡佳瑶,本科生

    张 洋,博士,教授。

    作者贡献声明: 王媛媛:研究设计,数据分析,撰写论文及修改论文; 陈奕然:文献调研与整理,数据可视化,参与论文修改; 蔡佳瑶:文献调研与整理,参与论文撰写; 高 源:数据分析,撰写论文及修改论文,审核论文; 张 洋:指导论文选题,审核论文。
  • 基金资助:
    国家社会科学基金青年项目“价值共创视角公众参与对科学知识扩散的影响机制研究”(25CTQ046)

Cross-group diffusion of China’s English scientific journals from a public engagement perspective: user identity classification and centrality analysis

WANG Yuanyuan1()(), CHEN Yiran1, CAI Jiayao1, GAO Yuan2)()(), ZHANG Yang1   

  1. 1) School of Information Management,Sun Yat-sen University,132 Waihuandong Road,Panyu District,Guangzhou 510006,China
    2) School of Marxism,Wuyi University,99 Yingbin Avenue Middle,Pengjiang District,Jiangmen 529020,China
  • Received:2026-03-24 Revised:2026-05-24 Online:2026-05-25 Published:2026-06-29

摘要:

目的 系统揭示“中国科技期刊卓越行动计划”英文期刊在X(Twitter)上的传播结构与扩散机制,以深入理解中国英文科研成果在国际传播层面的实际绩效。 方法 采集了Twitter上相关的论文提及数据,基于美国标准职业分类系统(SOC),利用半监督机器学习模型(MixText)对用户进行细粒度身份识别。随后,构建用户级扩散网络,并综合运用度中心性、中介中心性、接近中心性等网络中心性指标,以及扩散广度、深度、级联病毒性指数等结构指标,系统分析关键用户特征及不同类型用户对扩散网络的影响。 结果 中国英文科技期刊的国际扩散已形成多元协同的“核心-外围”结构,学术群体是核心,但也需要重视非学者群体在国际传播中的桥梁作用。异质化的学术圈层传播会更有利于其向更广泛社会群体的外延传播。 结论 中国英文期刊在提升国际传播力与影响力方面,不仅需要巩固核心学者网络,更需要引导并鼓励多元用户参与,尤其在高社会相关性与国际关注度的议题上,可以实施差异化的社交媒体传播策略,从而提升研究成果在国际公共讨论空间中的嵌入程度。

关键词: 中国英文科技期刊, 中国科技期刊卓越行动计划, 公众参与, 中心性分析

Abstract:

Purposes This study aims to systematically reveal the dissemination structure and diffusion mechanisms of journals funded by the China Sci-Tech Journal Excellence Action Plan on X(Twitter), thereby providing a deeper understanding of the international communication performance of Chinese scholarly outputs published in English. Methods Twitter-based mentions of scholarly publications were collected and analyzed. Drawing upon the U.S. standard occupational classification (SOC) system, a semi-supervised machine learning model (MixText) was employed to conduct fine-grained user classification. On this basis, a user-level diffusion network was constructed. Network centrality measures, including degree centrality, betweenness centrality, and closeness centrality, together with structural diffusion indicators such as diffusion breadth, diffusion depth, and cascade virality, were integrated to examine the structural characteristics of different user groups and their respective roles in the diffusion process. Findings The international diffusion of China’s English scholarly outputs has evolved into a multi-actor, collaborative core–periphery structure. While academic communities occupy the core position, the bridging role of non-academic users in international dissemination warrants greater attention. Heterogeneous diffusion across diverse academic sub-communities facilitates the outward extension of scholarly communication to broader social audiences. Conclusions To enhance both international communication capacity and academic influence, China’s English academic journals should not only consolidate core scholarly networks but also actively guide and encourage the participation of diverse user groups. In particular, for topics with high societal relevance and global salience, differentiated social media dissemination strategies should be implemented to strengthen the embedding of research outputs within international public discourse.

Key words: China’s English scientific journals, China Sci-Tech Journal Excellence Action Plan, Public engagement, Centrality analysis