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 c...
Ido Guy, Michal Jacovi, Adam Perer, Inbal Ronen, E...
The phenomenal success of social networking sites, such as Facebook, Twitter and LinkedIn, has revolutionized the way people communicate. This paradigm has attracted the attention ...
Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han
— In this paper we present information about our experiment with a social network of students from one school class. Each pupil has characterized his/her relationships to all sch...
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...