@net_science

Reader in Applied Mathematics @QMUL, Chair https://xitter.cf/t.co/1wtfI9jv7F, 2024-26 Turing Fellow @turinginst. Network Science, Data Science, and Digital Epidemiology

 London, England
nicolaperra.com
Joined November 2011
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561Media
Non-pharmaceutical interventions during the COVID-19 pandemic: A review (pre-proof) out in Physics Reports! sciencedirect.com/science/ar…
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Can maths survive AI? Fields medallist Terence Tao calls for a ‘Maths 2.0’ world idp.nature.com/authorize?res…

Can maths survive AI? Fields medallist Terence Tao calls for a ‘Maths 2.0’ world

Nature - As machines race ahead in solving problems, mathematicians must establish a new era that prizes human understanding over simply publishing more solutions.

nature.com
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Comparing different physics fields using statistical linguistics link.aps.org/doi/10.1103/vw9…

Comparing different physics fields using statistical linguistics

The large digital archives of the American Physical Society (APS) offer an opportunity to quantitatively analyze the structure and evolution of scientific communication. In this paper, we perform a...

journals.aps.org
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Adaptive cut reveals multiscale complexity in networks arxiv.org/abs/2512.08741

Adaptive cut reveals multiscale complexity in networks

Hierarchical clustering and community detection are important problems in machine learning and complex network analysis. A common approach to identify clusters is to simply cut dendrograms at some...

arxiv.org
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Tipping point forecasting in nonstationary dynamics on function spaces pnas.org/doi/abs/10.1073/pna…

Tipping point forecasting in nonstationary dynamics on function spaces | PNAS

Tipping points are abrupt, drastic, and often irreversible changes in the evolution of nonstationary and chaotic dynamical systems. For instance, i...

pnas.org
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Efficient and accurate steering of large language models through attention-guided feature learning pnas.org/doi/abs/10.1073/pna…

Efficient and accurate steering of large language models through attention-guided feature learning...

Activation steering, or direct manipulation of internal activations to guide large language model (LLM) responses toward specific semantic concepts...

pnas.org
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Inference of Hierarchical Core-Periphery Structure in Temporal Networks arxiv.org/abs/2506.10135

Inference of Hierarchical Core-Periphery Structure in Temporal Networks

Networks can have various types of mesoscale structures. One such structure is core--periphery structure, which consists of sets of densely-connected core nodes and sets of sparsely-connected...

arxiv.org
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Mobility and Contact Networks Shape Epidemic Outcomes: A Large-Scale Agent-Based Modeling Study arxiv.org/abs/2607.26217

Mobility and Contact Networks Shape Epidemic Outcomes: A...

Human mobility plays a central role in shaping contact patterns that drive infectious disease transmission, yet mobility is often simplified in agent-based models (ABMs) due to data and...

arxiv.org
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A Geometric Principle for Path Selection in Directed Acyclic Graphs arxiv.org/abs/2610.27025

A Geometric Principle for Path Selection in Directed Acyclic Graphs

There are many types of path between nodes of a Directed acyclic graph (DAG), including the shortest and longest paths. Here, we ask whether the choice of path used in any analysis reflects the...

arxiv.org
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Predictability of Human Movements across Industry Sectors using Multilayer Networks arxiv.org/abs/2607.28494

Predictability of Human Movements across Industry Sectors using...

Predicting the patterns of human movement is important to applications from urban design to disease control and emergency response. In this work, we leverage machine learning (ML) to study the...

arxiv.org
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Validating LLM-generated political networks with survey-reported partisan exposure arxiv.org/abs/2610.23199

Validating LLM-generated political networks with survey-reported...

Large language models (LLMs) are increasingly used to simulate human behavior in social science research, including decisions, interactions, and social relationships. However, in network formation...

arxiv.org
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Three reasons why AI is not conscious and perhaps never will be idp.nature.com/authorize?res…

Three reasons why AI is not conscious and perhaps never will be

Nature - Large language models can mimic thought and feeling with uncanny skill. But evidence from neuroscience suggests that intelligence alone is not enough for subjective experience.

nature.com
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Multiplicative Path Weights in Networks: From Katz Connectivity to Mean First-Passage Times arxiv.org/abs/2610.21474

Multiplicative Path Weights in Networks: From Katz Connectivity to...

Signal dispersion, stress propagation in interbank systems, and transmission probabilities in epidemic and reliability models are all captured by studying paths on directed graphs where the path...

arxiv.org
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Statistical Laws of Human Mobility under Large-Scale Behavioural Shock arxiv.org/abs/2610.22116

Statistical Laws of Human Mobility under Large-Scale Behavioural Shock

Human mobility follows robust statistical laws, but whether these laws persist under large, sudden behavioural shocks remains unclear. Here we analyse privacy-enhanced GPS trajectories of over one...

arxiv.org
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Synthetic populations for epidemic, demographic and mobility modeling arxiv.org/abs/2610.21784

Synthetic populations for epidemic, demographic and mobility modeling

Synthetic populations are essential for individual-based simulations, such as agent-based models, enabling the evaluation of policy interventions for epidemic control, demographic studies and...

arxiv.org
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Popularity-driven interactions in multilayer bounded-confidence opinion dynamics arxiv.org/abs/2610.21610

Popularity-driven interactions in multilayer bounded-confidence...

Social media users interact with their own social networks but also with platform-wide content, where a small number of highly popular users may receive a disproportionate share of attention. In...

arxiv.org
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Mobility energetic balance frames spatial configuration of cities arxiv.org/abs/2610.21558

Mobility energetic balance frames spatial configuration of cities

Urban spatial configurations emerge as the result of interactions between citizens' activities, movements and the landscape. Topography forms part of the physical settings through which mobility...

arxiv.org
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PhD students who write dissertation with AI less likely to stay in academia idp.nature.com/authorize?res…

PhD students who write dissertations with AI less likely to stay in academia

Nature - US PhD graduates who used artificial intelligence were more likely to work in industry.

nature.com
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Uncovering higher-order interactions from memory in observed dynamics arxiv.org/abs/2610.20095

Uncovering higher-order interactions from memory in observed dynamics

Many complex systems involve group interactions, which can readily be represented by higher-order structures such as hypergraphs. However, when observing a system's dynamical evolution,...

arxiv.org
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Popularity Trajectories and Mixing Patterns of Urban Venues in Two European Cities arxiv.org/abs/2610.18917

Popularity Trajectories and Mixing Patterns of Urban Venues in Two...

Urban venues such as restaurants, shops, bars and parks host the daily life of a city, and their collective rise and fall signals how vibrant a neighbourhood is. The usual assumption is that a...

arxiv.org
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Nested Hyperedges Promote the Onset of Collective Transitions but Suppress Explosive Behavior link.aps.org/doi/10.1103/rvl…

Nested Hyperedges Promote the Onset of Collective Transitions but Suppress Explosive Behavior

Higher-order interactions can induce abrupt collective transitions, yet the microscopic mechanisms controlling macroscopic critical behavior remain unclear. Here we show that nested hyperedges...

journals.aps.org
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