摘要
与现实生活中的朋友关系不同,多数的在线社交网络系统为每个人只设定一个简单的二元好友联系,即要么是朋友,要么不是。这种好友关系的定义为个人隐私信息的保护带来了许多问题。分析了一种基于当前社交网络平台的互动信息自动判定好友亲密度方法,并结合该方法提出了一种半自动的隐私控制框架。
Unlike real life friendship, most Online Social Networks only allow to make a binary type of friendship where an individual either is a friend of another individual or not. This kind of friendship definition brings numerous issues in Online Soeial Networks, mostly related to the privacy. In this paper, we argue to incorporate a functionality with eurrent Online Social Networks that automatically calculates the relationship strength between individuals by using their interaction data and introduces a semi-automatic privacy control framework based on friendship intimacy.
出处
《软件导刊》
2013年第8期113-116,共4页
Software Guide
关键词
社交网络
好友亲密度
数据挖掘
隐私控制
Social Networking
Friends Intimacy
Data Mining
Privacy Controls
