{"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}
引用次数: 4
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
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