{"title":"映射本地Web域","authors":"W. Ke, T. Simas","doi":"10.1109/IV.2007.76","DOIUrl":null,"url":null,"abstract":"In this study, we crawled a local Web domain, created its graph representation, and analyzed the network structure. The results of network analysis revealed local scale-free patterns consistent with previous research on the Web. To discover topical communities of the local domain, link- based co-citation analysis was performed to measure pair-wise similarities. Based on the co-citation graph, a visualization was produced to map the networked domain semantically. All of this offers a way to investigate a local Web structure and to make it more intuitively understandable.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Mapping a Local Web Domain\",\"authors\":\"W. Ke, T. Simas\",\"doi\":\"10.1109/IV.2007.76\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, we crawled a local Web domain, created its graph representation, and analyzed the network structure. The results of network analysis revealed local scale-free patterns consistent with previous research on the Web. To discover topical communities of the local domain, link- based co-citation analysis was performed to measure pair-wise similarities. Based on the co-citation graph, a visualization was produced to map the networked domain semantically. All of this offers a way to investigate a local Web structure and to make it more intuitively understandable.\",\"PeriodicalId\":177429,\"journal\":{\"name\":\"2007 11th International Conference Information Visualization (IV '07)\",\"volume\":\"95 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 11th International Conference Information Visualization (IV '07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IV.2007.76\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 11th International Conference Information Visualization (IV '07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IV.2007.76","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this study, we crawled a local Web domain, created its graph representation, and analyzed the network structure. The results of network analysis revealed local scale-free patterns consistent with previous research on the Web. To discover topical communities of the local domain, link- based co-citation analysis was performed to measure pair-wise similarities. Based on the co-citation graph, a visualization was produced to map the networked domain semantically. All of this offers a way to investigate a local Web structure and to make it more intuitively understandable.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
