Clustering of users in social networks by their activity

摘要

In this paper we present some preliminary experimental results related to searching correlations between users' psychological traits and the properties of their social network graph. We explore simple clustering techniques on standard available data extracted from mainstream social media platforms. Our experiments on approximately 1000 users show that we are capable of identifying 9 groups of users by their activity on social networks.