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netscience.bsky.social
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
The potential existential threat of large language models to online survey research www.pnas.org/doi/abs/10.1...
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
www.pnas.org
November 26, 2025 at 3:48 PM
The Effects of Remote Working on Scientific Collaboration and Impact arxiv.org/abs/2511.18481
The Effects of Remote Working on Scientific Collaboration and Impact
The COVID-19 pandemic shifted academic collaboration from in-person to remote interactions. This study explores, for the first time, the effects on scientific collaborations and impact of such a shift...
arxiv.org
November 25, 2025 at 7:36 AM
Navigating the Ethical and Societal Impacts of Generative AI in Higher Computing Education arxiv.org/abs/2511.15768
Navigating the Ethical and Societal Impacts of Generative AI in Higher Computing Education
Generative AI (GenAI) presents societal and ethical challenges related to equity, academic integrity, bias, and data provenance. In this paper, we outline the goals, methodology and deliverables of th...
arxiv.org
November 23, 2025 at 9:21 AM
Phase transitions from linear to nonlinear information processing in neural networks link.aps.org/doi/10.1103/...
link.aps.org
November 23, 2025 at 9:20 AM
Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion arxiv.org/abs/2511.13937
Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion
Graph Neural Networks (GNNs) have achieved remarkable success across diverse applications, yet they remain limited by oversmoothing and poor performance on heterophilic graphs. To address these challe...
arxiv.org
November 20, 2025 at 8:24 AM
Latest out in Plos Comp Bio: "Epydemix: An open-source Python package for epidemic modeling with integrated approximate Bayesian calibration". A new package in Python for epidemic modeling. Paper: journals.plos.org/ploscompbiol.... Website with lots of tutorials: www.epydemix.org
November 20, 2025 at 7:59 AM
Estimated impact of 2022–2023 influenza vaccines on annual hospital burden in the United States www.pnas.org/doi/abs/10.1...
Estimated impact of 2022–2023 influenza vaccines on annual hospital burden in the United States | PNAS
During the COVID-19 pandemic early years, infection prevention measures suppressed transmission of seasonal influenza and other respiratory viruses...
www.pnas.org
November 19, 2025 at 8:31 AM
Universalities in the Avalanche Dynamics of Novelties and Non-Novelties arxiv.org/abs/2511.12637
Universalities in the Avalanche Dynamics of Novelties and Non-Novelties
Unprecedented events intertwine with the repetition of the past in natural phenomena and human activities. Key statistical patterns, such as Heaps' and Taylor's laws and Zipf's law, have been identifi...
arxiv.org
November 19, 2025 at 8:23 AM
Fifteen millennia of human mitogenome evolution in Sicily | Science Advances www.science.org/doi/10.1126/...
Fifteen millennia of human mitogenome evolution in Sicily
Mitogenomes spanning 15 millennia reveal a genetic discontinuity within Sicily and continuous gene flow from Eurasia and Africa.
www.science.org
November 16, 2025 at 4:00 PM
Effects of higher-order interactions and homophily on information access inequality arxiv.org/abs/2506.00156
Effects of higher-order interactions and homophily on information access inequality
The spread of information through socio-technical systems determines which individuals are the first to gain access to opportunities and insights. Yet, the pathways through which information flows can...
arxiv.org
November 16, 2025 at 3:59 PM
Mapping memory-biased dynamics with compact models reveals overlapping communities in large networks arxiv.org/abs/2304.05775
Mapping memory-biased dynamics with compact models reveals overlapping communities in large networks
Many real-world systems, from social networks to protein-protein interactions and species distributions, exhibit overlapping flow-based communities that reflect their functional organisation. However,...
arxiv.org
November 16, 2025 at 3:58 PM
Inferring Higher-Order Couplings with Neural Networks link.aps.org/doi/10.1103/...
link.aps.org
November 16, 2025 at 3:57 PM
Random hyperbolic graphs with arbitrary mesoscale structures link.aps.org/doi/10.1103/...
link.aps.org
November 16, 2025 at 3:56 PM
Mitigating cascades in coevolving networks with targeted rewiring link.aps.org/doi/10.1103/...
link.aps.org
November 16, 2025 at 3:54 PM
Latest out: Fairness in infectious disease modeling. Great collaboration with Yuhan Li, @ngozzi.bsky.social @mtizzoni.bsky.social www.medrxiv.org/content/10.1...
November 14, 2025 at 6:06 PM
Public Transport Under Epidemic Conditions: Nonlinear Trade-Offs Between Risk and Accessibility arxiv.org/abs/2511.06377
Public Transport Under Epidemic Conditions: Nonlinear Trade-Offs Between Risk and Accessibility
Epidemics expose critical tensions between protecting public health and maintaining essential urban mobility. Public transport systems face this dilemma most acutely: they enable access to jobs, educa...
arxiv.org
November 12, 2025 at 8:58 AM
Two variants of the friendship paradox: The condition for inequality between them arxiv.org/abs/2511.06176
Two variants of the friendship paradox: The condition for inequality between them
The friendship paradox -- the observation that, on average, one's friends have more friends than oneself -- admits two common formulations depending on whether averaging is performed over edges or ove...
arxiv.org
November 12, 2025 at 8:57 AM
Statistical Physics Analysis of Graph Neural Networks: Approaching Optimality in the Contextual Stochastic Block Model link.aps.org/doi/10.1103/...
Statistical Physics Analysis of Graph Neural Networks: Approaching Optimality in the Contextual Stochastic Block Model
An asymptotic analysis of graph convolutional networks shows that deeper architectures can boost performance when designed with residual connections, offering the first precise theory for infinitely d...
link.aps.org
November 12, 2025 at 8:55 AM