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20242026
most citedTrade-offs between structural richness and perceptual robustness in music network representations

1 citations · 1 across the 5 of their papers we have counts for

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physics.soc-ph2026

Chordless cycle filtrations for dimensionality detection in complex networks via topological data analysis

Aina Ferrà Marcús, Robert Jankowski, Meritxell Vila Miñana +2

Many complex networks, ranging from social to biological systems, exhibit structural patterns consistent with an underlying hyperbolic geometry. Revealing the dimensionality of thi…

physics.soc-ph20261 cited

Trade-offs between structural richness and perceptual robustness in music network representations

Lluc Bono Rosselló, Robert Jankowski, Hugues Bersini +2

Music is a structured and perceptually rich sequence of sounds in time, whose perception is shaped by the interplay of expectation and uncertainty about what comes next. Yet the un…

physics.soc-ph2026

Multiplexity amplifies geometry in networks

Jasper van der Kolk, Dmitri Krioukov, Marián Boguñá +1

Many real-world network are multilayer, with nontrivial correlations across layers. Here we show that these correlations amplify geometry in networks. We focus on mutual clustering…

physics.soc-ph2026

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…

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…

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…