This paper shows how Social Network Analysis, the sociological domain studying the interaction between people in specific social environments, can be used to assign roles to different speakers in multiparty recordings. The experiments presented in this work focus on radio news recordings involving around 11 speakers on average. Each of them is assigned automatically a role (e.g. anchorman or guest) without using any information related to their identity or the amount of time they talk. The results (obtained over 96 recordings for a total of around 19 hours) show that more than 85 percent of the recording time is correctly labeled in terms of role.