916 citations · 2.9k across the 20 of their papers we have counts for
42 papers
Statistical mechanics of directed networks
Marián Boguñá, M. Ángeles Serrano
Directed networks are essential for representing complex systems, capturing the asymmetry of interactions in fields such as neuroscience, transportation, and social networks. Direc…
Measuring spatial distances in causal sets via causal overlaps
Marian Boguna, Dmitri Krioukov
Causal set theory is perhaps the most minimalistic approach to quantum gravity, in the sense that it makes next to zero assumptions about the structure of spacetime below the Planc…
Random graphs and real networks with weak geometric coupling
J. van der Kolk, M. Á. Serrano, M. Boguñá
Geometry can be used to explain many properties commonly observed in real networks. It is therefore often assumed that real networks, especially those with high average local clust…
Detecting the ultra low dimensionality of real networks
Pedro Almagro-Blanco, Marian Boguna, M. Angeles Serrano
Reducing dimension redundancy to find simplifying patterns in high-dimensional datasets and complex networks has become a major endeavor in many scientific fields. However, detecti…
A geometry-induced topological phase transition in random graphs
Jasper van der Kolk, M. Ángeles Serrano, Marián Boguñá
Clustering $\unicode{x2013}$ the tendency for neighbors of nodes to be connected $\unicode{x2013}$ quantifies the coupling of a complex network to its latent metric space. In rando…
Network Geometry
Marian Boguna, Ivan Bonamassa, Manlio De Domenico +3
Real networks are finite metric spaces. Yet the geometry induced by shortest path distances in a network is definitely not its only geometry. Other forms of network geometry are th…