{"title":"ACM图书馆的主要信息可视化作者、论文和主题","authors":"W. Ke, K. Börner, Lalitha Viswanath","doi":"10.1109/INFVIS.2004.45","DOIUrl":null,"url":null,"abstract":"The presented work aims to identify major research topics, co-authorships, and trends in the IV Contest 2004 dataset. Co-author, paper-citation, and burst analysis were used to analyze the dataset. The results are visually presented as graphs, static Pajek [1] visualizations and interactive network layouts using Pajek’s SVG output feature. A complementary web page with all the raw data, details of the analyses, and high resolution images of all figures is available online at http://iv.slis.indiana.edu/ref/iv04contest/.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"71","resultStr":"{\"title\":\"Major Information Visualization Authors, Papers and Topics in the ACM Library\",\"authors\":\"W. Ke, K. Börner, Lalitha Viswanath\",\"doi\":\"10.1109/INFVIS.2004.45\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The presented work aims to identify major research topics, co-authorships, and trends in the IV Contest 2004 dataset. Co-author, paper-citation, and burst analysis were used to analyze the dataset. The results are visually presented as graphs, static Pajek [1] visualizations and interactive network layouts using Pajek’s SVG output feature. A complementary web page with all the raw data, details of the analyses, and high resolution images of all figures is available online at http://iv.slis.indiana.edu/ref/iv04contest/.\",\"PeriodicalId\":109217,\"journal\":{\"name\":\"IEEE Symposium on Information Visualization\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"71\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Symposium on Information Visualization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFVIS.2004.45\",\"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","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFVIS.2004.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Major Information Visualization Authors, Papers and Topics in the ACM Library
The presented work aims to identify major research topics, co-authorships, and trends in the IV Contest 2004 dataset. Co-author, paper-citation, and burst analysis were used to analyze the dataset. The results are visually presented as graphs, static Pajek [1] visualizations and interactive network layouts using Pajek’s SVG output feature. A complementary web page with all the raw data, details of the analyses, and high resolution images of all figures is available online at http://iv.slis.indiana.edu/ref/iv04contest/.