摘要
围绕科研文献分析领域的问题展开研究,构建基于文献机构作者数据的可视化分析模型,该模型考虑机构、作者、关键词等多个角度的特征,对文献数据进行分析刻画,实现对文献数据的多角度分析,使用户能够快速有效地获取信息。
Studies the field of academic literature analysis issues and builds a visual analysis model based on the author’s data is constructed. The model takes into account the characteristics of multiple perspectives such as institutions, authors and keywords, and analyzes the literature data. Meanwhile, this paper realized the multi-angle analysis of the literature data, enabling users to get information quickly and efficiently.
作者
申航
SHEN Hang(College of Computer Science,Sichuan University,Chengdu 610065)
出处
《现代计算机》
2019年第6期36-40,共5页
Modern Computer
关键词
交互
可视化
文献数据
Interactive
Visualization
Literature Data
