{"title":"The effects of personal characteristics and interpersonal influence on privacy information diffusion in SNS","authors":"Zhengren Li, Ting-jie Lv, Xiaohang Zhang, Xia Chen","doi":"10.1109/SOLI.2013.6611450","DOIUrl":null,"url":null,"abstract":"In SNS, users with different privacy concern levels exhibit different private information posting behavior. To investigate and contrast the effects of personal and interpersonal influence on private information diffusion for different levels of privacy concern of users, we establish a survival analysis model and examine influence factors, including micro-blog features, user features, and social network features. The findings indicate that these three types of factors are very important and have a significant impact on the diffusion time of private information, especially the social network features. The influence factors differ for users with different levels of privacy concern. The results aid in our understanding and prediction of users' performance in SNS, with implications for social marketing and so on.","PeriodicalId":147180,"journal":{"name":"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOLI.2013.6611450","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In SNS, users with different privacy concern levels exhibit different private information posting behavior. To investigate and contrast the effects of personal and interpersonal influence on private information diffusion for different levels of privacy concern of users, we establish a survival analysis model and examine influence factors, including micro-blog features, user features, and social network features. The findings indicate that these three types of factors are very important and have a significant impact on the diffusion time of private information, especially the social network features. The influence factors differ for users with different levels of privacy concern. The results aid in our understanding and prediction of users' performance in SNS, with implications for social marketing and so on.