{"title":"公共网络聊天应用监控系统","authors":"","doi":"10.46632/daai/3/1/1","DOIUrl":null,"url":null,"abstract":"The goal of this study of group behavior is to comprehend how people act in a social networking setting. Social media platforms like Facebook, Twitter, Flickr, and YouTube produce vast amounts of data. Opportunities and difficulties for large-scale research on group behavior. In this research, our goal is to develop the ability to forecast group behavior on social media. How can we, in particular, infer the behavior of unobserved individuals in the same network given information about some individuals?","PeriodicalId":226827,"journal":{"name":"Data Analytics and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Public Web Chat Application Monitering System\",\"authors\":\"\",\"doi\":\"10.46632/daai/3/1/1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The goal of this study of group behavior is to comprehend how people act in a social networking setting. Social media platforms like Facebook, Twitter, Flickr, and YouTube produce vast amounts of data. Opportunities and difficulties for large-scale research on group behavior. In this research, our goal is to develop the ability to forecast group behavior on social media. How can we, in particular, infer the behavior of unobserved individuals in the same network given information about some individuals?\",\"PeriodicalId\":226827,\"journal\":{\"name\":\"Data Analytics and Artificial Intelligence\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data Analytics and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46632/daai/3/1/1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data Analytics and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46632/daai/3/1/1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The goal of this study of group behavior is to comprehend how people act in a social networking setting. Social media platforms like Facebook, Twitter, Flickr, and YouTube produce vast amounts of data. Opportunities and difficulties for large-scale research on group behavior. In this research, our goal is to develop the ability to forecast group behavior on social media. How can we, in particular, infer the behavior of unobserved individuals in the same network given information about some individuals?