collaborators

5 papers

physics.soc-ph2025

Extracting the geometric backbone of bipartite networks

Lucía S. Ramírez, Roya Aliakbarisani, M. Ángeles Serrano +1

Real bipartite networks combine degree-constrained random mixing with structured, locality-like rules. We introduce a statistical filter that benchmarks node-level bipartite cluste…

quant-ph2025

Quantum Key Distribution over Complex Networks

Luca Mariani, Raja Yehia, Carlos Pascual-García +4

There exist several initiatives worldwide to deploy quantum key distribution (QKD) over existing fibre networks and achieve quantum-safe security at large scales. To understand the…

physics.soc-ph2025

Clustering Does Not Always Imply Latent Geometry

Roya Aliakbarisani, Marián Boguñá, M. Ángeles Serrano

The latent space approach to complex networks has revealed fundamental principles and symmetries, enabling geometric methods. However, the conditions under which network topology i…

physics.soc-ph2025

Mapping bipartite networks into multidimensional hyperbolic spaces

Robert Jankowski, Roya Aliakbarisani, M. Ángeles Serrano +1

Bipartite networks appear in many real-world contexts, linking entities across two distinct sets. They are often analyzed via one-mode projections, but such projections can introdu…

cond-mat.dis-nn2024

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…