{"title":"社会网络影响分析","authors":"Yuning Guo, Jianxiang Cao, Weiguo Lin","doi":"10.1109/DSA.2019.00093","DOIUrl":null,"url":null,"abstract":"Social networking platforms, such as weibo, WeChat, Twitter and Facebook etc. It have greatly changed people's daily life in the past. Compared with traditional media information dissemination, information dissemination based on social network has the characteristics of simplicity, speed and wide audience. Besides network technology, the influence of social network users is also a major factor. Under the influence, the behavior of a single user implicitly or explicitly affects the behavior of many other users, and may also affect the whole dynamic trend of social network. Therefore, social network influence analysis is one of the important contents of social network research. The this paper will expound the related concepts, mainly summarize the social network influence communication model and evaluation methods, and look into the future of social network influence analysis.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Social Network Influence Analysis\",\"authors\":\"Yuning Guo, Jianxiang Cao, Weiguo Lin\",\"doi\":\"10.1109/DSA.2019.00093\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Social networking platforms, such as weibo, WeChat, Twitter and Facebook etc. It have greatly changed people's daily life in the past. Compared with traditional media information dissemination, information dissemination based on social network has the characteristics of simplicity, speed and wide audience. Besides network technology, the influence of social network users is also a major factor. Under the influence, the behavior of a single user implicitly or explicitly affects the behavior of many other users, and may also affect the whole dynamic trend of social network. Therefore, social network influence analysis is one of the important contents of social network research. The this paper will expound the related concepts, mainly summarize the social network influence communication model and evaluation methods, and look into the future of social network influence analysis.\",\"PeriodicalId\":342719,\"journal\":{\"name\":\"2019 6th International Conference on Dependable Systems and Their Applications (DSA)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 6th International Conference on Dependable Systems and Their Applications (DSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSA.2019.00093\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSA.2019.00093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Social networking platforms, such as weibo, WeChat, Twitter and Facebook etc. It have greatly changed people's daily life in the past. Compared with traditional media information dissemination, information dissemination based on social network has the characteristics of simplicity, speed and wide audience. Besides network technology, the influence of social network users is also a major factor. Under the influence, the behavior of a single user implicitly or explicitly affects the behavior of many other users, and may also affect the whole dynamic trend of social network. Therefore, social network influence analysis is one of the important contents of social network research. The this paper will expound the related concepts, mainly summarize the social network influence communication model and evaluation methods, and look into the future of social network influence analysis.