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Numerous models have been proposed for modeling social networks to explore their structure or to address application problems, such as community detection and behavior prediction. However, the results are still far from satisfactory. One of the biggest challenges is how to capture all the information of a social network such as links, communities, user attributes, roles and behaviors, in a unified manner. In this paper, we propose a unified probabilistic framework, the Community Role Modeldoi:10.1145/2783258.2783274 dblp:conf/kdd/HanT15 fatcat:wvqpsfzmgva35mdydjv424zvhu