FMNet: Physical Trait Patterns in the Fashion World

Abstract

In light of a constantly growing interest and real-world applicability shown in social collaboration networks, we have gathered data from Fashion Model Directory, the largest fashion model database. As such, we model and analyze the network formed by female fashion models all around the world, which we call FMNet. Inspired by similar approaches in the actors and music industry, we compare our empirical results with Facebook, Twitter, and Google Plus online friendship networks. As a first study of its kind in the fashion world, we create a network based on physical similarities, and by using centrality measures and network motifs, we prove that FMNet has all the properties of a social collaboration network. We discover and explain role of the most influential nodes (in terms of betweenness centrality) and communities (in terms of eigenvector centrality) in FMNet. The physical patterns found in this study offer a better understanding over the evolving trends in the fashion world.