Same places, same things, same people?: mining user similarity on social media

In this work we examine nine different sources for user similarity as reflected by activity in social media applications. We suggest a classification of these sources into three categories: people, things, and places. Lists of similar people returned by the nine sources are found to be highly different from each other as well as from the list of people the user is familiar with, suggesting that aggregation of sources may be valuable. Evaluation of the sources and their aggregates points at their usefulness across different scenarios, such as information discovery and expertise location, and also highlights sources and aggregates that are particularly valuable for inferring user similarity. Author Keywords Social networks, user similarity, social media, social software. ACM Classification Keywords H.5.3. Group and Organizational Interfaces – Computersupported cooperative work. General Terms Design, Experimentation, Human Factors, Measurement

• Type: Conference
• Year: 2010
• Where: CSCW
• Authors: Ido Guy, Michal Jacovi, Adam Perer, Inbal Ronen, Erel Uziel
• Keywords: ACM Classification Keywords, CSCW 2010, Social Media Applications, Social Sciences, User Similarity