国际科研合作网络视角下关键联络人识别模型构建

Construction of Key Liaison Scholar IdentificationModel from the International Scientific ResearchCooperation Network Perspective

国际科研合作是推动全球科技进步及技术创新的重要力量。在国际科研合作网络中,扮演联络角色的科研学者对网络构建和维护具有关键作用。如何在科技合作竞争日益激烈的全球环境中识别关键合作者并建立重要合作关系,是情报学的重要研究方向之一。本研究旨在通过社会网络分析方法构建关键联络人的识别模型。基于Louvain算法对科研合作网络进行社团划分后,本研究进一步构建了3种指标来识别不同类型的联络人:社团内参与度指标Z、社团间参与度指标P和社团连接度指标C。这些指标分别针对社团内联络人、外部广泛联络人以及外部深度联络人进行了量化。实证研究表明,这些指标能够有效识别不同类型的关键联络人,揭示他们在科研合作网络中的特定作用和位置。本研究构建的关键联络人识别模型及研究结论将有助于科学家发现国际上的重要合作伙伴,促进知识共享与跨学科交流;有助于推动开展国际联合研究项目,为引进培养国际人才提供情报支持。

International scientific research cooperation is an essential driver of global technological advancement and innovation.Scholars who play liaison roles are crucial to the construction and maintenance of these networks.Identifying key collaborators and establishing significant cooperative relationships in an increasingly competitive global scientific collaboration environment is a key research focus in information science.This study aimed to develop a model for identifying key liaisons using social network analysis methods.After segmenting the scientific research cooperation network into communities using the Louvain algorithm,three indicators were introduced to identify different types of liaisons:intra-community participation index Z,inter-community participation index P,and community connectivity index C.These results provide theoretical support for policies of China on introducing academic talent and seeking partners in global scientific research cooperation.The research findings will not only help scientists discover important international partners and promote knowledge sharing and interdisciplinary communication,but also facilitate the development of joint international research projects and provide information for the introduction and cultivation of international talent.