Visual Statistics for Collections of Clustered Graphs
Ulrik Brandes, Jürgen Lerner, Miranda J. Lubbers, Christopher McCarty, José Luís Molina · 2008
We propose a method to visually summarize collections of networks on which a clustering of the vertices is given. Our method allows for efficient comparison of individual networks, as well as for visualizing the average composition and structure of a set of networks. As a concrete application we analyze a set of several hundred personal networks of migrants. On the individual level the network images provide visual hints for assessing the mode of acculturation of the respondent. On the population level they show how cultural integration varies with specific characteristics of the migrants such as country of origin, years of residence, or skin color.