  We report on the construction of a granular network of particles to study the
formation, evolution and statistical properties of clusters of particles
developing at the vicinity of a liquid-solid-like phase transition within a
vertically vibrated quasi two-dimensional granular system. Using the data of
particle positions and local order from Castillo et al [Phys. Rev. Lett. 109,
095701 (2012)], we extract granular clusters taken as communities of the
granular network via modularity optimization. Each one of these communities is
a patch of particles with a very well defined local orientational order
embedded within an array of other patches forming a complex cluster network.
The distribution of cluster sizes and life-spans for the cluster network depend
on the distance to the liquid-solid-like phase transition of the quasi
two-dimensional granular system. Specifically, the cluster size distribution
displays a scale-invariant behavior for at least a decade in cluster sizes,
while cluster lifespans grows monotonically with each cluster size. We believe
this systematic community analysis for clustering in granular systems can serve
to study and understand the spatio-temporal evolution of mesoscale structures
in systems displaying out-of-equilibrium phase transitions.
