{"title":"测量网络可视化的质量","authors":"Chaomei Chen","doi":"10.1145/1065385.1065509","DOIUrl":null,"url":null,"abstract":"A quantitative method is developed for measuring the quality of network visualizations in terms of log-likelihood metrics resulted from expectation maximization (EM) clustering intrinsic and extrinsic attributes of network nodes","PeriodicalId":248721,"journal":{"name":"Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Measuring the quality of network visualization\",\"authors\":\"Chaomei Chen\",\"doi\":\"10.1145/1065385.1065509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A quantitative method is developed for measuring the quality of network visualizations in terms of log-likelihood metrics resulted from expectation maximization (EM) clustering intrinsic and extrinsic attributes of network nodes\",\"PeriodicalId\":248721,\"journal\":{\"name\":\"Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1065385.1065509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1065385.1065509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A quantitative method is developed for measuring the quality of network visualizations in terms of log-likelihood metrics resulted from expectation maximization (EM) clustering intrinsic and extrinsic attributes of network nodes