图 书 馆
你是谁你知道：推断用户配置文件中的在线社交网络You Are Who You Know: Inferring User Profiles in Online Social Networks |
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| 课程网址: | http://videolectures.net/wsdm2010_mislove_yawyk/ |
| 主讲教师: | Alan Mislove |
| 开课单位: | 西北大学 |
| 开课时间: | 2010-04-12 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Online social networks are now a popular way for users to connect, express themselves, and share content. Users in today’s online social networks often post a profile, consisting of attributes like geographic location, interests, and schools attended. Such profile information is used on the sites as a basis for grouping users, for sharing content, and for suggesting users who may benefit from interaction. However, in practice, not all users provide these attributes. In this paper, we ask the question: given attributes for some fraction of the users in an online social network, can we infer the attributes of the remaining users? In other words, can the attributes of users, in combination with the social network graph, be used to predict the attributes of another user in the network? To answer this question, we gather fine-grained data from two social networks and try to infer user profile attributes. We find that users with common attributes are more likely to be friends and often form dense communities, and we propose a method of inferring user attributes that is inspired by previous approaches to detecting communities in social networks. Our results show that certain user attributes can be inferred with high accuracy when given information on as little as 20% of the users. |
| 关 键 词: | 社会化网络; 利益; 共享内容 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-05-31：吴雨秋(课程编辑志愿者) |
| 阅读次数: | 68 |