Integration of three visualization methods based on co-word analysis

Ying Yang ,  Mingzhi Wu ,  Lei Cui

Library of China Medical University;;Library of Shenyang Pharmaceutical University;;Department of Medical Informatics and Information System,China Medical University

Scientometrics , 2012, Vol.90 (2), pp.659-673

Springer期刊

DOI：10.1007/s11192-011-0541-4

keywords: Coword visualization;Cluster tree;Strategic diagram;Social network map;Integration

Abstract

 Visualization of subject structure based on coword analysis is used to explore the concept network and developmental tendency in certain field. There are many visualization methods for coword analysis. However, integration of results by different methods is rarely reported. This article addresses the knowledge gap in this field of study. We compare three visualization methods: Cluster tree, strategy diagram and social network maps, and integrate different results together to one result through coword analysis of medical informatics. The three visualization methods have their own character: cluster trees show the subject structure, strategic diagrams reveal the importance of topic themes in the structure, and social network maps interpret the internal relationship among themes. Integrati on of different visualization results to one more readable map complements each other. And it is helpful for researchers to get the concept network and developmental tendency in a certain field.

 基于共词分析的主题结构可视经常常用来探索特定领域 概念网络及其发展趋势。共词分析可视化的方法有很多种。但是，不同方法结果的整合研究还比较少见。本文将关注这些研究是的知识差异。我们三种可视化方法：聚类树、战略座标图和社会网络图，并且以医学信息学共词分析为例，将不同结果进行了整合。这三种方法各有特点：聚类树可以显示主题结构；战略座标图可以揭示出主题在结构中的重要性；社会网络可以用来解释主题之间的相互联系。不同可视化法的整合可以充分利用各自的优势。它有助于研究者了解特定领域的概念网络及其发展趋势。