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netscience.bsky.social
NetScience
@netscience.bsky.social
1.8K followers 1.5K following 1.2K posts
Reader in Applied Mathematics at Queen Mary University working on Network Science, Data Science, and digital Epidemiology. Website: www.nicolaperra.com
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netscience.bsky.social
NetScience @netscience.bsky.social · 1d
Understanding the high-order network plasticity mechanisms of ultrasound neuromodulation journals.plos.org/ploscompbiol...
Understanding the high-order network plasticity mechanisms of ultrasound neuromodulation
Author summary Transcranial ultrasound stimulation (TUS) offers a non-invasive approach to modulating brain activity, holding promise for treating psychiatric and neurological disorders. Despite its p...
journals.plos.org
1
netscience.bsky.social
NetScience @netscience.bsky.social · 1d
Physical partisan proximity outweighs online ties in predicting US voting outcomes arxiv.org/abs/2407.12146
Physical partisan proximity outweighs online ties in predicting US voting outcomes
Affective polarization and increasing social divisions affect social mixing and the spread of information across online and physical spaces, reinforcing social and electoral cleavages and influencing ...
arxiv.org
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netscience.bsky.social
NetScience @netscience.bsky.social · 1d
Modeling the spatial growth of cities arxiv.org/abs/2510.03045
Modeling the spatial growth of cities
The growth of cities has traditionally been studied from a population perspective, while urban sprawl - its spatial growth - has often been approached qualitatively. However, characterizing and modeli...
arxiv.org
1 3
netscience.bsky.social
NetScience @netscience.bsky.social · 1d
A computational framework for quantifying route diversification in road networks arxiv.org/abs/2510.02582
A computational framework for quantifying route diversification in road networks
The structure of road networks impacts various urban dynamics, from traffic congestion to environmental sustainability and access to essential services. Recent studies reveal that most roads are under...
arxiv.org
2
netscience.bsky.social
NetScience @netscience.bsky.social · 3d
A Bayesian model for repeated cross-sectional epidemic prevalence survey data journals.plos.org/ploscompbiol...
A Bayesian model for repeated cross-sectional epidemic prevalence survey data
Author summary Understanding how infections spread in a population is crucial during an epidemic, and large-scale surveys that test people for current infection can provide valuable insights. These su...
journals.plos.org
3
netscience.bsky.social
NetScience @netscience.bsky.social · 3d
Improving policy design and epidemic response using integrated models of economic choice and disease dynamics with behavioral feedback journals.plos.org/ploscompbiol...
Improving policy design and epidemic response using integrated models of economic choice and disease dynamics with behavioral feedback
Author summary Models help researchers and policymakers predict how infections spread and compare control strategies. However, current models neglect how behavioral choices (like social distancing or ...
journals.plos.org
netscience.bsky.social
NetScience @netscience.bsky.social · 3d
Multi-Scale Node Embeddings for Graph Modeling and Generation arxiv.org/abs/2412.04354
Multi-Scale Node Embeddings for Graph Modeling and Generation
Lying at the interface between Network Science and Machine Learning, node embedding algorithms take a graph as input and encode its structure onto output vectors that represent nodes in an abstract ge...
arxiv.org
netscience.bsky.social
NetScience @netscience.bsky.social · 3d
Framing Unionization on Facebook: Communication around Representation Elections in the United States arxiv.org/abs/2510.01757
Framing Unionization on Facebook: Communication around Representation Elections in the United States
Digital media have become central to how labor unions communicate, organize, and sustain collective action. Yet little is known about how unions' online discourse relates to concrete outcomes such as ...
arxiv.org
netscience.bsky.social
NetScience @netscience.bsky.social · 5d
Climate-linked escalation of societally disastrous wildfires | Science www.science.org/doi/10.1126/...
Climate-linked escalation of societally disastrous wildfires
Climate change and land mismanagement are creating increasingly fire-prone built and natural environments. However, despite worsening fire seasons, evidence is lacking globally for trends in socially ...
www.science.org
netscience.bsky.social
NetScience @netscience.bsky.social · 5d
From reductionism to realism: Holistic mathematical modelling for complex biological systems arxiv.org/abs/2503.20511
From reductionism to realism: Holistic mathematical modelling for complex biological systems
At its core, the physics paradigm adopts a reductionist approach, aiming to understand fundamental phenomena by decomposing them into simpler, elementary processes. While this strategy has been tremen...
arxiv.org
2
netscience.bsky.social
NetScience @netscience.bsky.social · 5d
Symmetry breaking in collective decision-making through higher-order interactions arxiv.org/abs/2510.00853
Symmetry breaking in collective decision-making through higher-order interactions
Collective decision-making is a widespread phenomenon in both biological and artificial systems, where individuals reach a consensus through social interactions. While traditional models of opinion dy...
arxiv.org
netscience.bsky.social
NetScience @netscience.bsky.social · 5d
Sampling the space of solutions of an artificial neural network link.aps.org/doi/10.1103/...
Sampling the space of solutions of an artificial neural network
The weight space of an artificial neural network can be systematically explored using tools from statistical mechanics. We employ a combination of a hybrid Monte Carlo algorithm which performs long ex...
link.aps.org
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netscience.bsky.social
NetScience @netscience.bsky.social · 6d
Latest out: Controlling the spread of deception-based cyber-threats on time-varying networks. Great collaboration with @ngozzi.bsky.social arxiv.org/abs/2510.00731
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netscience.bsky.social
NetScience @netscience.bsky.social · 7d
Network inference via process motifs for lagged correlation in linear stochastic processes arxiv.org/abs/2208.08871
Network inference via process motifs for lagged correlation in linear stochastic processes
A major challenge for causal inference from time-series data is the trade-off between computational feasibility and accuracy. Motivated by process motifs for lagged covariance in an autoregressive mod...
arxiv.org
1
netscience.bsky.social
NetScience @netscience.bsky.social · 7d
Higher-order shortest paths in hypergraphs arxiv.org/abs/2502.03020
Higher-order shortest paths in hypergraphs
One of the defining features of complex networks is the connectivity properties that we observe emerging from local interactions. Recently, hypergraphs have emerged as a versatile tool to model networ...
arxiv.org
1
netscience.bsky.social
NetScience @netscience.bsky.social · 7d
Compact 15-minute cities are greener arxiv.org/abs/2409.01817
Compact 15-minute cities are greener
The 15-minute city concept, which advocates for cities where essential services are accessible within a 15-minute walk or bike ride, has gained significant attention in recent years. However, despite ...
arxiv.org
1 1
netscience.bsky.social
NetScience @netscience.bsky.social · 7d
How LLMs Learn to Reason: A Complex Network Perspective arxiv.org/abs/2509.23629
How LLMs Learn to Reason: A Complex Network Perspective
Training large language models with Reinforcement Learning from Verifiable Rewards (RLVR) exhibits a set of distinctive and puzzling behaviors that remain poorly understood, including a two-stage lear...
arxiv.org
1
netscience.bsky.social
NetScience @netscience.bsky.social · 7d
When Simple is Enough, Binary Models Capture Social Complexity in Coupled Human-Environment Systems arxiv.org/abs/2509.25111
When Simple is Enough, Binary Models Capture Social Complexity in Coupled Human-Environment Systems
Models of coupled human-environment systems often face a tradeoff between realism and tractability. Spectrum opinion models, where social preferences vary continuously, offer descriptive richness but ...
arxiv.org
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netscience.bsky.social
NetScience @netscience.bsky.social · 7d
Robustness of 'small' networks arxiv.org/abs/2509.23670
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 ...
arxiv.org
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netscience.bsky.social
NetScience @netscience.bsky.social · 7d
Network Inequality through Preferential Attachment, Triadic Closure, and Homophily arxiv.org/abs/2509.23205
Network Inequality through Preferential Attachment, Triadic Closure, and Homophily
Inequalities in social networks arise from linking mechanisms, such as preferential attachment (connecting to popular nodes), homophily (connecting to similar others), and triadic closure (connecting ...
arxiv.org
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netscience.bsky.social
NetScience @netscience.bsky.social · 7d
Decoding the city: multiscale spatial information of urban income arxiv.org/abs/2509.22954
Decoding the city: multiscale spatial information of urban income
Cities are characterized by the coexistence of general aggregate patterns, along with many local variations. This poses challenges for analyses of urban phenomena, which tend to be either too aggregat...
arxiv.org
netscience.bsky.social
NetScience @netscience.bsky.social · 7d
Network Science, and three of its avengers, featured in the latest @veritasium.bsky.social video (one of the largest youtube channels for Science education)!! youtu.be/CYlon2tvywA?... @stevenstrogatz.com Duncan Watts @barabasi.bsky.social
Something Strange Happens When You Trace How Connected We Are
YouTube video by Veritasium
youtu.be
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netscience.bsky.social
NetScience @netscience.bsky.social · 8d
Multivariable Behavioral Change Modeling of Epidemics in the Presence of Undetected Infections arxiv.org/abs/2503.00982
Multivariable Behavioral Change Modeling of Epidemics in the Presence of Undetected Infections
Epidemic models are invaluable tools to understand and implement strategies to control the spread of infectious diseases, as well as to inform public health policies and resource allocation. However, ...
arxiv.org
netscience.bsky.social
NetScience @netscience.bsky.social · 8d
Message passing for epidemiological interventions on networks with loops arxiv.org/abs/2509.21596
Message passing for epidemiological interventions on networks with loops
Spreading models capture key dynamics on networks, such as cascading failures in economic systems, (mis)information diffusion, and pathogen transmission. Here, we focus on design intervention problems...
arxiv.org
1
netscience.bsky.social
NetScience @netscience.bsky.social · 9d
Solving the many-electron Schrödinger equation with a transformer-based framework www.nature.com/articles/s41...
Solving the many-electron Schrödinger equation with a transformer-based framework - Nature Communications
Accurately solving the Schrödinger equation is challenging. Here, authors present QiankunNet, a Transformer-based framework that efficiently captures quantum correlations, achieving high accuracy in complex molecular systems using neural network quantum states.
www.nature.com
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