You are who you know: Inferring user profiles in Online Social Networks

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...

• Type: Conference
• Year: 2010
• Where: WSDM
• Authors: Alan Mislove, Bimal Viswanath, P. Krishna Gummadi, Peter Druschel
• Keywords: Certain User Attributes, Common Attributes, Data Mining, Social Networks, WSDM 2010