N. Sivaraman, S. Muthiah, Pushkal Agarwal, Lokesh Todwal
{"title":"论在线社交网络中的社交同步","authors":"N. Sivaraman, S. Muthiah, Pushkal Agarwal, Lokesh Todwal","doi":"10.1145/3091478.3098881","DOIUrl":null,"url":null,"abstract":"In this work,we characterize a phenomenon called social synchrony that occurs in the online social networks. Social synchrony is a kind of collective social activity associated with some event where the number of people who participate in the activity first increases exponentially and then decreases exponentially. Also, some users continually participate in the activity for a considerable period of time. We define this phenomenon and propose a method to detect it.","PeriodicalId":165747,"journal":{"name":"Proceedings of the 2017 ACM on Web Science Conference","volume":"1997 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On Social Synchrony in Online Social Networks\",\"authors\":\"N. Sivaraman, S. Muthiah, Pushkal Agarwal, Lokesh Todwal\",\"doi\":\"10.1145/3091478.3098881\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work,we characterize a phenomenon called social synchrony that occurs in the online social networks. Social synchrony is a kind of collective social activity associated with some event where the number of people who participate in the activity first increases exponentially and then decreases exponentially. Also, some users continually participate in the activity for a considerable period of time. We define this phenomenon and propose a method to detect it.\",\"PeriodicalId\":165747,\"journal\":{\"name\":\"Proceedings of the 2017 ACM on Web Science Conference\",\"volume\":\"1997 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2017 ACM on Web Science Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3091478.3098881\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2017 ACM on Web Science Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3091478.3098881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this work,we characterize a phenomenon called social synchrony that occurs in the online social networks. Social synchrony is a kind of collective social activity associated with some event where the number of people who participate in the activity first increases exponentially and then decreases exponentially. Also, some users continually participate in the activity for a considerable period of time. We define this phenomenon and propose a method to detect it.