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[目的 /意义]通过对科研群体中学者之间的关联度进行研究,建立一种新的关联度计算模型,为深入分析学者间的关系提供更多视角。[方法 /过程]在对已有学者关联度表示方法进行总结的基础之上,将传统研究中的学者间合著关系与文献引用关系进行集成,构建基于合著与共引关系的学者关联度模型。实证部分以图书情报领域17种期刊10余年的文献数据以及引文数据为例,详细阐述基于该模型的复杂网络构建过程,并对该复杂网络的应用价值进行论述。[结果 /结论]实证数据表明,该关联度计算模型具有可应用性,构建的网络很好地将有向图与无向图进行了统一,不仅能够反映合著关系也能够体现相互间的共引关系,为深入分析学者间的关联提供数据基础,也能为知识服务和政策制定提供有益的参考。
[Purpose / Significance] By studying the correlation between scholars in research groups, a new calculation model of correlation degree is established, which provides a more perspective for further analysis of the relationship between scholars. [Methods / Processes] Based on the summarization of the existing methods for expressing the degree of association of scholars, this paper intends to integrate the co-relationship between scholars in the traditional research with the literature reference, and build a scholar-degree of correlation model based on co-authoring and co-citing . The empirical part takes the literature data and citations of more than 10 years in 17 kinds of periodicals in the field of library and information as an example to elaborate the complex network construction process based on the model and discusses the application value of the complex network. [Result / Conclusion] The empirical data show that the relevance calculation model has applicability. The constructed network can well unify the directed graph and the undirected graph, not only reflecting the co-related relationship but also reflecting the mutual In order to provide a data basis for in-depth analysis of the correlation among scholars, it can also provide useful reference for knowledge service and policy making.