可视化同被引分析的关键技术综述

可视化同被引分析步骤主要包括选择数据源、确定分析的元素、计算同被引频次、对数据进行标准化处理、对数据进行降维和图示、对图形进行分析解释。这些步骤中的关键技术在于对获得的高维引文关系数据进行降维和图示，目前应用较多的主要有聚类分析、多维尺度分析、因子分析、自组织映射神经技术、寻径网络技术、最小生成树法、三角测量、力矢量布局算法等。其中寻径网络技术以其较好的图示效果得到了较多的应用。

Study on the Key Techniques of Co-citation Visualization

The general steps of co-citation visualization include chosing a data resource, defination of unit of analysis, caculation of a sinilarity between uinits, standrization of raw data, dimensionality reduction and mapping, gieve The key techniques of co-citation visualization are dimensionality reduction and maping which can derive useful representations of high dimenational citation data. The dimensionality reduction and maping techniques which had been used are Cluster Analysis, Mutidimentioanal Scaling, Factor Analysis, Self-Organizing Feature Map, Pathfinder Network Scaling, Minimum Spanning Tree, Triangulation, and Force Directed Placement. Pathfinder Nwework Scaling had been used more because of its preferable visualizing effect.