{"title":"基于结构学习的网络新闻传播分析:实验视角","authors":"Ruiqi Li, Yanli Hu, Jiuyang Tang, W. Xiao","doi":"10.1109/ICDEW.2015.7129572","DOIUrl":null,"url":null,"abstract":"Online information dissemination has attracted unprecedented attention with the proliferation of Internet. This paper investigates how news is disseminated through key online media. Key media are defined to include two categories: a) leader media, whose reports will be reproduced by numerous other media; b) source media, serving as the information counselor for leader ones. Through analyzing the appearance of the same report on various online media, we are able to locate key media in news dissemination and predict the path of dissemination. We provide the initial experimental results on real-life datasets, and the results presented in the form of Bayesian network indicate that the unique influence of online media in three different categories during the process of report.","PeriodicalId":333151,"journal":{"name":"2015 31st IEEE International Conference on Data Engineering Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analyzing online news dissemination via structure learning: An experimental view\",\"authors\":\"Ruiqi Li, Yanli Hu, Jiuyang Tang, W. Xiao\",\"doi\":\"10.1109/ICDEW.2015.7129572\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Online information dissemination has attracted unprecedented attention with the proliferation of Internet. This paper investigates how news is disseminated through key online media. Key media are defined to include two categories: a) leader media, whose reports will be reproduced by numerous other media; b) source media, serving as the information counselor for leader ones. Through analyzing the appearance of the same report on various online media, we are able to locate key media in news dissemination and predict the path of dissemination. We provide the initial experimental results on real-life datasets, and the results presented in the form of Bayesian network indicate that the unique influence of online media in three different categories during the process of report.\",\"PeriodicalId\":333151,\"journal\":{\"name\":\"2015 31st IEEE International Conference on Data Engineering Workshops\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 31st IEEE International Conference on Data Engineering Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDEW.2015.7129572\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 31st IEEE International Conference on Data Engineering Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDEW.2015.7129572","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analyzing online news dissemination via structure learning: An experimental view
Online information dissemination has attracted unprecedented attention with the proliferation of Internet. This paper investigates how news is disseminated through key online media. Key media are defined to include two categories: a) leader media, whose reports will be reproduced by numerous other media; b) source media, serving as the information counselor for leader ones. Through analyzing the appearance of the same report on various online media, we are able to locate key media in news dissemination and predict the path of dissemination. We provide the initial experimental results on real-life datasets, and the results presented in the form of Bayesian network indicate that the unique influence of online media in three different categories during the process of report.
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