基于二模网络链路预测的合作者识别方法研究

Identification of Potential Research Partners Based on Two-Mode Network Analysis

随着科学研究复杂性和学科交叉性的不断提高,科研工作者通过开展高水平的科研合作形成了大批高质量研究成果。本文基于Web of Science数据库,构建了基于二模网络链路预测的潜在科研合作伙伴识别新方法,综合考量了研究内容的文本信息和合作网络的结构信息,并体现了研究者研究兴趣和研究方向的动态变化,以期帮助科研工作者从海量科技文献中快速识别潜在的合作对象。在实证研究部分,本文以"图书情报学"领域的学者为例,为其推荐合作伙伴。

With the increasing complexity and interdisciplinary nature of scientific research,several high-quality research results are found to be obtained owing to the collaboration between researchers.Based on the Web of Science databases,a novel method for identifying and evaluating potential scientific research partners via two-mode network link prediction is developed.The structure of the research content and the cooperative network of the research articles are comprehensively considered.Further,the dynamic nature of research interests and directions are reflected to help researchers rapidly identify potential partners using existing literature.As a part of the empirical research,this study consider scholars in the field of library and information science as an example to recommend partners.