This paper explains how multilevel methods can be employed to analyse personal network data, when the dependent variable under consideration is a function of the relations contained in the personal networks. These methods take into account the mutual dependence of relations of the same respondent, and allow us to study the variability between respondents as well as the variability between different relations within respondents. As an illustration, multilevel models are applied to an analysis of personal networks of cocaine users, focusing on the significance of cocaine in their personal relations with other cocaine users