{"title":"使用社区结构对计算机科学会议进行分类:初步结果","authors":"Suhendry Effendy, R. Yap","doi":"10.1145/3110025.3110102","DOIUrl":null,"url":null,"abstract":"Research in computer science (CS) is published mainly in conferences. We investigate the possibility of automatically categorizing CS conferences by using exemplars (influential conferences). We propose an automatic exemplars selection method. Our experiments show that categorizing by exemplars matches well with curated topic classification from the Chinese CCF conference list. The results also accord with manual judgement which show promise as a practical and robust method for categorizing CS conferences.","PeriodicalId":399660,"journal":{"name":"Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017","volume":"385 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Community Structure to Categorize Computer Science Conferences: Initial Results\",\"authors\":\"Suhendry Effendy, R. Yap\",\"doi\":\"10.1145/3110025.3110102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research in computer science (CS) is published mainly in conferences. We investigate the possibility of automatically categorizing CS conferences by using exemplars (influential conferences). We propose an automatic exemplars selection method. Our experiments show that categorizing by exemplars matches well with curated topic classification from the Chinese CCF conference list. The results also accord with manual judgement which show promise as a practical and robust method for categorizing CS conferences.\",\"PeriodicalId\":399660,\"journal\":{\"name\":\"Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017\",\"volume\":\"385 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3110025.3110102\",\"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 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3110025.3110102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Community Structure to Categorize Computer Science Conferences: Initial Results
Research in computer science (CS) is published mainly in conferences. We investigate the possibility of automatically categorizing CS conferences by using exemplars (influential conferences). We propose an automatic exemplars selection method. Our experiments show that categorizing by exemplars matches well with curated topic classification from the Chinese CCF conference list. The results also accord with manual judgement which show promise as a practical and robust method for categorizing CS conferences.