基于数据流模型的航线网络结构可视分析方法  

Route network structure visualization analysis method based on data flow model

作　　者：贺怀清[1] 宋淼 刘浩翰[1] HE Huaiqing;SONG Miao;LIU Haohan(College of Computer Science and Technology,Civil Aviation University of China,Tianjin 300300,China)

机构地区：[1]中国民航大学计算机科学与技术学院,天津300300

出　　处：《现代电子技术》2024年第19期27-32,共6页Modern Electronics Technique

基　　金：国家自然科学基金项目(U1333110);天津市教委科研项目(2020KJ024);国家重点研发计划项目(2020YFB1600101)。

摘　　要：针对航线网络结构多维属性关联分析问题,提出一种基于数据流模型的多视图协同网络结构可视分析方法。引入数据流模型,增强多维数据分析时的交互和多视图协同效果;构建基于数据流模型的航线网络结构可视分析系统用于方法验证。该方法对比和实验结果表明,利用航线网络数据流实时交互和多视图协同分析网络结构数据,完成聚类、相关性、异常值分析任务,能更好地分析数据之间的关联关系,有助于理解航线网络的结构和特征。最后,通过以上方法分析网络结构特点与不足,提出航线网络优化建议,能更好地帮助用户完成可视分析任务,探索数据分布特征、发现多维数据之间的关联关系。A multi-view collaborative network structure visualization analysis method based on data flow model is proposed to carry out the multi-dimensional attribute association analysis of route network structure.The data flow model is introduced to enhance the interaction and multi-view collaboration during multi-dimensional data analysis.The route network structure visualization analysis system based on data flow model is constructed for method validation.The method comparison and experimental results show that the real-time interaction of route network data flow and multi-view collaborative analysis of network structure data can be used to complete the tasks of clustering analysis,correlation analysis and outlier analysis,which can analyze the correlation among data better and is helpful to understanding the structure and characteristics of route network.Finally,the characteristics and shortcomings of the network structure are analyzed with the above methods,and the suggestions for route network optimization are given,which can help users complete the tasks of visualization analysis better,explore data distribution characteristics,and discover the correlation among multi-dimensional data.

关 键 词：数据流模型 航线网络 可视分析 多视图协同 实时交互 网络结构 

分 类 号：TN919-34[电子电信—通信与信息系统] TP39[电子电信—信息与通信工程]