Cluster analysis of weighted bipartite networks:
a new copula-based approach
Alessandro Chessa, Irene Crimaldi, Massimo Riccaboni, Luca Trapin ∗†‡
May 7, 2014
Abstract
In this work we are interested in identifying clusters of “positional equivalent”...
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Cluster analysis of weighted bipartite networks:
a new copula-based approach
Alessandro Chessa, Irene Crimaldi, Massimo Riccaboni, Luca Trapin ∗†‡
May 7, 2014
Abstract
In this work we are interested in identifying clusters of “positional equivalent” actors,
i.e. actors who play a similar role in a system. In particular, we analyze weighted bipartite
networks that describes the relationships between actors on one side and features or traits
on the other, together with the intensity level to which actors show their features. The main
contribution of our work is twofold. First, we develop a methodological approach that takes
into account the underlying multivariate dependence among groups of actors. The idea is
that positions in a network could be defined on the basis of the similar intensity levels that
the actors exhibit in expressing some features, instead of just considering relationships that
actors hold with each others. Second, we propose a new clustering procedure that exploits
the
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