A clustering procedure for ego-network data: an application to Italian elders living in couple

The analysis of ego-network characteristics (especially size and composition) has become crucial in studying many aspects of everyday life. In this work, we propose a clustering procedure to find a partition of ego-networks into homogeneous groups according to their features. We use data from the “Family and Social Subjects” (FSS) survey conducted by the Italian National Statistical Institute in 2009, on elderly couples with both partners aged 65 years and more. Preliminary results show the suitability of our proposal to analyze this kind of ego-network data.