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NetScience @net_science

Reader in Applied Mathematics @QMUL, Chair netsci.uk/, 2024-26 Turing Fellow @turinginst. Network Science, Data Science, and Digital Epidemiology

Joined November 2011
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NetScience@net_science
14 Feb 2021
Non-pharmaceutical interventions during the COVID-19 pandemic: A review (pre-proof) out in Physics Reports! sciencedirect.com/science/ar…

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Deep learning four decades of human migration idp.nature.com/authorize?res…

Deep learning four decades of human migration

Nature - A global annual migration-flow dataset (1990–2024) is produced using deep-learning models and diverse sources to estimate movements across 230 countries with improved temporal...

nature.com
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Enabling quantum communication in ultra-large-scale networks arxiv.org/abs/2606.08326

Enabling quantum communication in ultra-large-scale networks

The recent development of small-scale quantum networks poses the question of whether such a technology could also operate at scale in the futuristic Quantum Internet. The question can be answered...

arxiv.org
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Platform Sorting Drives Ideological Fragmentation in the Social Media Ecosystem arxiv.org/abs/2606.10575

Platform Sorting Drives Ideological Fragmentation in the Social...

Ideological asymmetries in online political communication are often studied as localized phenomena emerging within communities. Here, we show that fragmentation instead operates at the level of...

arxiv.org
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Community detection by the normalized Ricci flow with the optimization of the information entropy link.aps.org/doi/10.1103/q6p…

Community detection by the normalized Ricci flow with the optimization of the information entropy

Discrete Ricci curvature serves as a fundamental geometric tool for quantifying the structural characteristics of complex networks, effectively capturing the richness of their connection patterns....

journals.aps.org
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Defining and classifying models of groups: The social ontology of higher-order networks arxiv.org/abs/2507.02758

Defining and classifying models of groups: The social ontology of...

In complex systems research, the study of higher-order interactions has exploded in recent years. Researchers have formalized various types of group interactions, such as public goods games,...

arxiv.org
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Network model selection: A review of methods arxiv.org/abs/2606.05954

Network model selection: A review of methods

Understanding the processes behind the evolution of complex networks is a key objective in network science. An effective framework for tackling this challenge is network model selection, which...

arxiv.org
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Home alone: Remote work, isolation, and mental health | Science science.org/doi/10.1126/scie…

Home alone: Remote work, isolation, and mental health

How does remote work affect isolation and mental health? We drew on five nationally representative surveys of American workers (N = 588,322) conducted from 2011 to 2024, omitting the peak pandemic...

science.org
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Homo cooperans: Understanding the nature of human cooperation | Science science.org/doi/10.1126/scie…

Homo cooperans: Understanding the nature of human cooperation

Human cooperation is fundamental to solving collective challenges, yet its individual drivers remain insufficiently understood. Using globally representative data from an incentivized two-player...

science.org
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Implications of regional variations in climate change vulnerability and mitigation behaviour for social-climate dynamics idp.nature.com/authorize?res…

Implications of regional variations in climate change vulnerability and mitigation behaviour for...

Nature Communications - Many climate models now include economic variables, and this study shows how also integrating powerful social and cultural forces can dramatically alter predictions of both...

nature.com
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Opinion-Driven Vaccination and Epidemic Dynamics on Heterogeneous Networks arxiv.org/abs/2603.24403

Opinion-Driven Vaccination and Epidemic Dynamics on Heterogeneous Networks

Vaccination campaigns play a pivotal role in controlling infectious diseases. Their success, however, depends not only on vaccine efficacy and availability but also significantly on public opinion...

arxiv.org
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Diffusion-driven pattern formation in an opinion dynamical network model link.aps.org/doi/10.1103/mvp…

Diffusion-driven pattern formation in an opinion dynamical network model

The spatial organization of individuals and their interactions in communities are important factors known to preserve diversity in many complex systems. Inspired by metapopulation models from...

journals.aps.org
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A computational model of reward learning and habits on social media idp.nature.com/authorize?res…

A computational model of reward learning and habits on social media

Nature Communications - The cognitive processes driving social media use could be key to understanding social media’s impact. Here, the authors develop a computational model of real-world...

nature.com
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Information theory for hypergraph similarity | Science Advances science.org/doi/10.1126/scia…

Information theory for hypergraph similarity

Information theoretic principles are used to derive a hierarchy of hypergraph similarity measures.

science.org
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Mobility shapes heat exposure inequalities in cities arxiv.org/abs/2603.24782

Mobility shapes heat exposure inequalities in cities

Segregation has long been recognized as a driver of environmental inequalities, with disadvantaged groups often living in neighborhoods where heat-related risks are highest. Yet, it remains...

arxiv.org
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Disaster-induced behavioral change restructures social networks toward bonding ties arxiv.org/abs/2606.02790

Disaster-induced behavioral change restructures social networks...

Population displacement following environmental shocks reshapes the spatial organization of social interactions, often fragmenting existing ties and weakening community cohesion. Although social...

arxiv.org
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A high-resolution, US-scale digital similar of interacting livestock, wild birds, and human ecosystems for multihost epidemic spread pnas.org/doi/abs/10.1073/pna…

A high-resolution, US-scale digital similar of interacting livestock, wild birds, and human...

One Health issues, such as the spread of highly pathogenic avian influenza, present unique challenges at the human–animal–environmental interface. ...

pnas.org
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Predicting Physical Links in Networks link.aps.org/doi/10.1103/kkw…

Predicting Physical Links in Networks

A physics-informed framework allows for inferring general causal links across a wide range of networked dynamics systems.

journals.aps.org
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The @netscisociety is stronger than ever @NetSciConf
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NetScience retweeted
Steven Strogatz
@stevenstrogatz
Jun 2
A beautiful example of an "optimal stopping problem" – Feynman's restaurant problem – with a great backstory behind it. This is a fun, well written article, and a fun math problem too. doi.org/10.1073/pnas.2509612…

Resolving Feynman’s restaurant problem reveals optimal solutions and human strategies | PNAS

In the 1970s, physicist Richard Feynman turned lunch with a friend into a math problem—how to optimize dish selection over multiple meals—but his h...

pnas.org
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Hypergraph backboning arxiv.org/abs/2606.00893

Hypergraph backboning

Hypergraphs provide a natural framework for describing complex networked systems with higher-order, non-dyadic interactions. Due to their high dimensionality and often redundant structure, a key...

arxiv.org
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