{"title":"点对点微博社交网络中的热门话题","authors":"H. Asthana, I. Cox","doi":"10.1109/P2P.2013.6688719","DOIUrl":null,"url":null,"abstract":"We investigate the problem of identifying trending information in a peer-to-peer micro-blogging social network. Trending topics are valuable since they often reflect a news-worthy event and invite users to search on the topic to see what others are posting about the event. Whilst identifying trending topics in a centralized system is relatively straightforward, in a peer-to-peer environment the participating nodes do not have access to global statistics such as the micro-blog post creation rate and the frequencies of the keywords.","PeriodicalId":116854,"journal":{"name":"IEEE P2P 2013 Proceedings","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Trending topics in a peer-to-peer micro-blogging social network\",\"authors\":\"H. Asthana, I. Cox\",\"doi\":\"10.1109/P2P.2013.6688719\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We investigate the problem of identifying trending information in a peer-to-peer micro-blogging social network. Trending topics are valuable since they often reflect a news-worthy event and invite users to search on the topic to see what others are posting about the event. Whilst identifying trending topics in a centralized system is relatively straightforward, in a peer-to-peer environment the participating nodes do not have access to global statistics such as the micro-blog post creation rate and the frequencies of the keywords.\",\"PeriodicalId\":116854,\"journal\":{\"name\":\"IEEE P2P 2013 Proceedings\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE P2P 2013 Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/P2P.2013.6688719\",\"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 P2P 2013 Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/P2P.2013.6688719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Trending topics in a peer-to-peer micro-blogging social network
We investigate the problem of identifying trending information in a peer-to-peer micro-blogging social network. Trending topics are valuable since they often reflect a news-worthy event and invite users to search on the topic to see what others are posting about the event. Whilst identifying trending topics in a centralized system is relatively straightforward, in a peer-to-peer environment the participating nodes do not have access to global statistics such as the micro-blog post creation rate and the frequencies of the keywords.
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