{"title":"状态转换图的可视化","authors":"F. van Ham, H. van de Wetering, J. van Wijk","doi":"10.1109/INFVIS.2001.963281","DOIUrl":null,"url":null,"abstract":"A new method for the visualization of state transition graphs is presented. Visual information is reduced by clustering nodes, forming a tree structure of related clusters. This structure is visualized in three dimensions with concepts from cone trees and emphasis on symmetry. The resulting visualization makes it easier to relate features in the visualization of the state transition graph to semantic concepts in the corresponding process and","PeriodicalId":131263,"journal":{"name":"IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":"{\"title\":\"Visualization of state transition graphs\",\"authors\":\"F. van Ham, H. van de Wetering, J. van Wijk\",\"doi\":\"10.1109/INFVIS.2001.963281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new method for the visualization of state transition graphs is presented. Visual information is reduced by clustering nodes, forming a tree structure of related clusters. This structure is visualized in three dimensions with concepts from cone trees and emphasis on symmetry. The resulting visualization makes it easier to relate features in the visualization of the state transition graph to semantic concepts in the corresponding process and\",\"PeriodicalId\":131263,\"journal\":{\"name\":\"IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"28\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFVIS.2001.963281\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFVIS.2001.963281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new method for the visualization of state transition graphs is presented. Visual information is reduced by clustering nodes, forming a tree structure of related clusters. This structure is visualized in three dimensions with concepts from cone trees and emphasis on symmetry. The resulting visualization makes it easier to relate features in the visualization of the state transition graph to semantic concepts in the corresponding process and