基于2-模异质网络的作者潜在合作空间测度与识别——以图书情报学为例

Measurement and Identification of Author Potential Collaboration Space Based on 2-mode Heterogeneous Network: Taking Library and Information Science for Example

[目的/意义]鉴于异质网络能够揭示数据的多重关系,引入合作网络,构建2-模异质网络,并基于此异质网络,进行作者潜在合作空间的测度与识别,增加作者间合作机会,促进学科知识的交流与融合提供参考。[方法/过程]以2004-2013年间的图书情报学核心期刊论文为研究对象,定义作者-作者-关键词2模异质网络,挖掘网络中的多重关系;定义潜在合作空间的相关概念及测度公式,并运用共现分析、耦合分析及编译VBA程序,对2-模异质网络的作者潜在合作空间进行测度与识别。[结果/结论]发现图书情报学领域的47位核心潜在合作者;某一研究主题的作者潜在合作空间相同或相近,重叠部分形成了该研究领域的潜在合作团队,这一发现为研究人员寻求潜在合作者提供了便利条件。

[ Purpose/significance ] Heterogeneous network can reflect the multi-relationship of data. Based on it, this paper introduces research topics to collaboration network, and forms 2-mode heterogeneous network. It measures and identifies the author potential collaboration space to promote the possibility of collaboration and the exchange and integra- tion of disciplines. [ Method/process ] This paper regards core-journal papers of library and information science from 2004 to 2013 as research objects, defines the 2-mode heterogeneous network of anthor-author-keywords, and mines their multi- relationship. It defines the related concepts and measure formula of potential collaboration space, and measures and iden- tifies author potential space of 2-mode heterogeneous network with co-current analysis, coupling analysis and VBA. [ Re- suit/conclusion ] It finds 47 core potential collaborators in library and information science. And it finds that authors poten- tial collaboration space of one research topic is same or similar, and overlapping part forms a potential collaboration team in this research area, which may help researchers find potential collaborators,