MACFANG Workshop, Barcelona | November 6 - 8, 2017

We welcome applications for a three-year PhD position within our program of Complex Networks at UB.

We show that multiplex systems are not random combinations of single network layers. Instead, they are organized in specific ways dictated by hidden geometric correlations between the layers.

We introduce the World Trade Atlas 1870-2013, a collection of annual World Trade Maps where distance integrates the different dimensions affecting international trade beyond geography. The Atlas informs us about the long-run evolution of the international trade system and shows that, in terms of trade, the world is not flat, it is hyperbolic.

We define self-similarity in the context of multiplexes and explore the implications of this property for their robustness. We prove that interlayer degree correlations in self-similar multiplexes are key to recover the ordinary percolation properties of noninteracting networks.