NetScience
@netscience.bsky.social
Reader in Applied Mathematics at Queen Mary University working on Network Science, Data Science, and digital Epidemiology. Website: www.nicolaperra.com
Extremal spectral properties of random graphs link.aps.org/doi/10.1103/...
Extremal spectral properties of random graphs
In this work we study statistical properties of the extreme eigenstates of the randomly weighted adjacency matrices of random graphs. We focus on two random graph models: Erd\ifmmode \mbox{\H{o}}\else...
link.aps.org
A theory of spatial early warning signals for tipping points on complex networks arxiv.org/abs/2608.15476
A theory of spatial early warning signals for tipping points on complex networks
Spatial early warning signals (EWSs) seek evidence of an approaching tipping point from a single snapshot of many interacting elements. Existing theory largely assumes spatial homogeneity, whereas net...
arxiv.org
A theory of spatial early warning signals for tipping points on complex networks arxiv.org/abs/2608.15476
A theory of spatial early warning signals for tipping points on complex networks
Spatial early warning signals (EWSs) seek evidence of an approaching tipping point from a single snapshot of many interacting elements. Existing theory largely assumes spatial homogeneity, whereas net...
arxiv.org
Network-based drug repurposing for MYH9-related nephritis link.aps.org/doi/10.1103/...
Network-based drug repurposing for MYH9-related nephritis
Using tools from network theory, we analyze the organization of a MYH9-oriented druglike library in chemical space using a multidescriptor framework. The dataset is drawn from ZINC, a publicly availab...
link.aps.org
Bayesian approach for the network reconstruction of interdependent critical infrastructure systems from cascading failures link.aps.org/doi/10.1103/...
Bayesian approach for the network reconstruction of interdependent critical infrastructure systems from cascading failures
Analyzing the behavior of complex interdependent networks requires complete information about the network topology and the interdependent links across networks. For many applications, such as interdep...
link.aps.org
Robustness of small networks link.aps.org/doi/10.1103/...
Robustness of small networks
Modeling how networks change under structural perturbations can yield foundational insights into network robustness, which is critical in many real-world applications. The largest connected component ...
link.aps.org
Extreme vulnerability to intruder attacks destabilizes network dynamics idp.nature.com/authorize?re...
Extreme vulnerability to intruder attacks destabilizes network dynamics - Nature Communications
A single malicious agent can destabilize an entire network by targeting a low-connectivity node. Here, authors show that these nodes are more vulnerable than highly connected hubs, revealing an intrin...
idp.nature.com
Attention to heterogeneous information sources affects epidemic outcomes www.pnas.org/doi/abs/10.1...
Attention to heterogeneous information sources affects epidemic outcomes | PNAS
During an epidemic, disease transmission and human behavior are closely related: High infection levels trigger risk awareness and preventive behavi...
pnas.org
The friendship paradox: Causal evidence of its behavioral consequences arxiv.org/abs/2608.07819
The friendship paradox: Causal evidence of its behavioral consequences
We provide a first causal analysis of the behavioral consequences of the friendship paradox-the fact that people's friends in a network have more connections than average. We find that people's behavi...
arxiv.org
Workplace dependence in urban economies arxiv.org/abs/2608.07588
Workplace dependence in urban economies
Remote work has fundamentally reshaped urban economic life, and the spatial organisation of activity across cities. However, access to flexible work is distributed unevenly across industries, income g...
arxiv.org
The impact of the path ensemble on path percolation arxiv.org/abs/2608.09479
The impact of the path ensemble on path percolation
Traffic-induced failures, from packet loss in communication networks to congestion breakdown in transport systems, occur when flows progressively exhaust the edges they traverse. Path percolation mode...
arxiv.org
A temporal proximity network dataset from a wedding cocktail hour with relationship category labels arxiv.org/abs/2605.30291
A temporal proximity network dataset from a wedding cocktail hour with relationship category labels
Objectives: We captured a fine-grained dataset of unstructured social interaction with socially meaningful group labels to fill a gap in the study of face-to-face interaction. Prior interaction data f...
arxiv.org
Ollivier's Ricci Curvature on Complex-weighted Graphs arxiv.org/abs/2608.10132
Ollivier's Ricci Curvature on Complex-weighted Graphs
Understanding the geometry of complex networks is critical for effective modeling and analysis across domains. While discrete notions of Ricci curvature have emerged as powerful tools for characterizi...
arxiv.org
Fast Algorithm for 2D Rigidity Percolation link.aps.org/doi/10.1103/...
Fast Algorithm for 2D Rigidity Percolation
An algorithm for simulating the rigidity percolation transition, based on novel theoretical results, overcomes previous size limitations and enables the highly precise characterization of its universa...
link.aps.org
Epidemic dynamics on temporal complex networks link.aps.org/doi/10.1103/...
Epidemic dynamics on temporal complex networks
A wide range of real-world systems, ranging from physical and biological systems to social systems, can be described as temporal networks, where link temporality has profound effects on many dynamical...
link.aps.org
Baseline-referenced spatial early warning signals for tipping points on heterogeneous networks arxiv.org/abs/2608.06608
Baseline-referenced spatial early warning signals for tipping points on heterogeneous networks
Anticipating tipping points in complex systems is difficult because many early warning signals require long time series, which are often unavailable in practice. Spatial early warning signals offer an...
arxiv.org
Decoding behavior with minimal and interpretable agent models journals.plos.org/ploscompbiol...
Decoding behavior with minimal and interpretable agent models
Author summary Living organisms constantly process information to make decisions. Which are the computational processes that translate sequences of sensory cues into courses of actions? Since the inte...
journals.plos.org
The Structure of Spreading on Temporal Networks arxiv.org/abs/2608.06175
The Structure of Spreading on Temporal Networks
The physics of spreading in static networks is well understood through mappings to percolation. We show that spreading dynamics on temporal networks can analogously be mapped to reachability in tempor...
arxiv.org
Janus Percolation in Anisotropic Limited-Degree Networks link.aps.org/doi/10.1103/...
Janus Percolation in Anisotropic Limited-Degree Networks
Many real-world infrastructures, from sensor and road networks to power grids, are spatially embedded and anisotropic, with constraints on the maximum number of links each node can establish. Such sys...
link.aps.org
Escalation dynamics and the severity of wars | Science Advances www.science.org/doi/10.1126/...
Escalation dynamics and the severity of wars
The likelihood of a large war is driven by war’s internal escalation dynamics, rather than its scale when shots are first fired.
science.org
Predictability of Human Movements across Industry Sectors using Multilayer Networks arxiv.org/abs/2607.28494
Predictability of Human Movements across Industry Sectors using Multilayer Networks
Understanding the spatiotemporal patterns of human movement is important across diverse applications including urban design, disease control, social and cognitive science, and emergency response plann...
arxiv.org
High-fidelity inference of power grid frequency distributions arxiv.org/abs/2607.28232
High-fidelity inference of power grid frequency distributions
Precision measurements of power grid frequency track energy supply-demand imbalances, with persistent fluctuations indicating strain that can lead to outages. Characterizing the statistical properties...
arxiv.org
Vector field theory in motion: Revealing latent potentials in soccer dynamics arxiv.org/abs/2607.27838
Vector field theory in motion: Revealing latent potentials in soccer dynamics
Team sports offer a natural laboratory for studying collective motion in competitive environments. While recent tracking technologies enabled detailed analysis of player and ball trajectories, most ex...
arxiv.org
Statistics of correlations in nonlinear recurrent neural networks link.aps.org/doi/10.1103/...
Statistics of correlations in nonlinear recurrent neural networks
The statistics of correlations are central quantities characterizing the collective dynamics of recurrent neural networks. We derive exact expressions for the statistics of correlations of nonlinear r...
link.aps.org
Charting higher-order models of brain function beyond pairwise interactions idp.nature.com/authorize?re...
Charting higher-order models of brain function beyond pairwise interactions - Nature Communications
This study benchmarks ten higher-order interaction metrics on fMRI data, revealing distinct patterns of brain functional organization. Higher-order models outperform pairwise methods in fingerprinting...
idp.nature.com
The past and future impact of climate change on childhood malaria in Africa idp.nature.com/authorize?re...
The past and future impact of climate change on childhood malaria in Africa - Nature
Climate and econometric modelling reveal that human-induced climate change is shifting the burden of childhood malaria in Africa.
idp.nature.com
Pulses, waves, and cascades in collective migration dynamics arxiv.org/abs/2606.30604
Pulses, waves, and cascades in collective migration dynamics
Decisions to migrate depend on others' decisions. Dependence can produce nontrivial dynamics. We propose a minimal migration model that accounts for social influence alongside individual heterogeneity...
arxiv.org
How large should academic departments be? arxiv.org/abs/2607.22189
How large should academic departments be?
Academic departments are the primary unit of scholarship and education at universities, and they vary vastly in their sizes. However, the consequences and natural dynamics of department size are poorl...
arxiv.org
Nonlinear Model Reduction of Complex Networks via Spectral Submanifolds arxiv.org/abs/2607.24121
Nonlinear Model Reduction of Complex Networks via Spectral Submanifolds
Complex networked systems are prevalent in biology, engineering, and the social sciences, yet their high-dimensional, nonlinear dynamics pose major challenges for analysis and prediction. A mathematic...
arxiv.org