摘要
时变网络越来越受到网络可视化研究人员的关注,其重要特征是网络不断的随时间发生改变,传统的静态网络可视化方法已经无法满足日益庞大的时变网络数据的可视化分析需求。在介绍了时变网络基本概念的基础上,首先从清除视觉杂乱和保持意象图两个方面归纳了时变网络可视化需要完成的任务,然后研究了时变网络可视化技术的分类方法,提出按照保持意象图的手段进行技术分类的设想,并详细阐述了各类技术中典型代表方法的主要思想和特征,最后总结了时变网络可视化研究的可能发展方向。
Time-varying networks whose essential feature is changing over time is getting more and more attention from network visualization community recent years. The traditional way of network visualization for static network cannot meet the requirement of visual analyzing the increasingly larger time-varying network datasets. First, visualization tasks were concluded from reducing visual clutters and preserving the user＇s mental map. Then, the taxonomy of time-varying network visualization techniques was presented according to the way of preserving mental map, and the main idea of representative method was expatiated on. Finally, the potential research direction was presented.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2013年第9期1975-1980,1989,共7页
Journal of System Simulation
基金
国家自然科学基金(61103081)
关键词
时变网络可视化
信息可视化
网络可视化
意象图
time-varying network visualization
network visualization
information visualization
mental map
