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NetScience

@net_science

Reader in Applied Mathematics @QMUL, Chair https://nitter.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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Non-pharmaceutical interventions during the COVID-19 pandemic: A review (pre-proof) out in Physics Reports! sciencedirect.com/science/ar…
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Activity-based temporal hypergraphs: from individual activity to collective social dynamics arxiv.org/abs/2610.36333
Activity-based temporal hypergraphs: from individual activity to...

Activity-based temporal hypergraphs: from individual activity to...

Temporal hypergraphs provide an interesting representation for many social systems, as they integrate both the temporal and group nature of social interactions. Designing models of time-varying...

arxiv.org
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1,293
Thermodynamic Space of Chemical Reaction Networks link.aps.org/doi/10.1103/g87…
Thermodynamic Space of Chemical Reaction Networks

Thermodynamic Space of Chemical Reaction Networks

By deriving bounds on reaction affinities and stationary concentrations, this work defines the thermodynamic space of chemical reaction networks and establishes their fundamental thermodynamic...

journals.aps.org
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Increasing dengue outbreaks in temperate Brazil are associated with Aedes aegypti invasion and infestation levels idp.nature.com/authorize?res…

Increasing dengue outbreaks in temperate Brazil are associated with Aedes aegypti invasion and...

Nature Communications - Dengue is surging in temperate southern Brazil. This study links the rise to the spread and increasing infestation levels of Aedes aegypti, rather than to shifts in climate...

nature.com
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The Effects of Generative AI on Collaboration and Social Networks Among Knowledge Workers arxiv.org/abs/2610.32461
The Effects of Generative AI on Collaboration and Social Networks...

The Effects of Generative AI on Collaboration and Social Networks...

The rapid diffusion of generative artificial intelligence has raised concerns that knowledge work may become less dependent on human-to-human interaction. Yet because AI-generated outputs require...

arxiv.org
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Hybrid SEIR Temporal Fusion Transformer Framework with SHAP Analysis for Interpretable Pandemic Forecasting arxiv.org/abs/2610.31673
Hybrid SEIR Temporal Fusion Transformer Framework with SHAP...

Hybrid SEIR Temporal Fusion Transformer Framework with SHAP...

Forecasting pandemic spread across heterogeneous regions demands models that are both accurate and interpretable for public health action. This paper proposes a hybrid forecasting framework that...

arxiv.org
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Large language models for computational social science idp.nature.com/authorize?res…
Large language models for computational social science

Large language models for computational social science

Nature Human Behaviour - This Review from Evans et al. documents the distinct roles that LLMs now have in computational social science and provides an overview of recent LLM-supported advances...

nature.com
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Directed extended-range percolation link.aps.org/doi/10.1103/hs2…

Directed extended-range percolation

For standard percolation, directionality is known to increase the complexity of percolation, requiring the distinct statistical treatment of in messages and out messages for determining the percola...

journals.aps.org
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Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits arxiv.org/abs/2605.18890
Stop Drawing Scientific Claims from LLM Social Simulations Without...

Stop Drawing Scientific Claims from LLM Social Simulations Without...

The scientific claims drawn from LLM social simulations should be no stronger than the robustness audits that support them. Generative agents bring new expressive power to agent-based modeling,...

arxiv.org
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Network topology shapes consensus and vulnerability in LLM populations arxiv.org/abs/2610.31165
Network topology shapes consensus and vulnerability in LLM populations

Network topology shapes consensus and vulnerability in LLM populations

As large language models (LLMs) are deployed in interacting populations, their collective behaviour depends not only on the models but also on who interacts with whom. Studies of convention...

arxiv.org
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1,527
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

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

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 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...

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

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...

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

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...

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...

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

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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