{"title":"社交网络是优化内容交付网络的互联网晴雨表","authors":"S. Agarwal, S. Agarwal","doi":"10.1109/ANTS.2009.5409895","DOIUrl":null,"url":null,"abstract":"We use Twitter's real-time lists of popular Internet topics as a basis for predicting which Internet content will become popular in the near future. Our methods can be applied to optimize content delivery networks of the Internet via intelligent content pre-fetching and caching.","PeriodicalId":245765,"journal":{"name":"2009 IEEE 3rd International Symposium on Advanced Networks and Telecommunication Systems (ANTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Social networks as Internet barometers for optimizing content delivery networks\",\"authors\":\"S. Agarwal, S. Agarwal\",\"doi\":\"10.1109/ANTS.2009.5409895\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We use Twitter's real-time lists of popular Internet topics as a basis for predicting which Internet content will become popular in the near future. Our methods can be applied to optimize content delivery networks of the Internet via intelligent content pre-fetching and caching.\",\"PeriodicalId\":245765,\"journal\":{\"name\":\"2009 IEEE 3rd International Symposium on Advanced Networks and Telecommunication Systems (ANTS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE 3rd International Symposium on Advanced Networks and Telecommunication Systems (ANTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANTS.2009.5409895\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE 3rd International Symposium on Advanced Networks and Telecommunication Systems (ANTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTS.2009.5409895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Social networks as Internet barometers for optimizing content delivery networks
We use Twitter's real-time lists of popular Internet topics as a basis for predicting which Internet content will become popular in the near future. Our methods can be applied to optimize content delivery networks of the Internet via intelligent content pre-fetching and caching.
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