NetScience

Predicting protein-protein interactions in the human proteome Protein-protein interactions (PPIs) are essential for biological function. Coevolutionary analysis and deep-learning (DL)–based protein structure prediction have enabled comprehensive PPI identificati...

Predicting protein-protein interactions in the human proteome | Science www.science.org/doi/10.1126/...

Discover network dynamics with neural symbolic regression - Nature Computational Science This study presents a neural symbolic regression approach that autonomously uncovers network dynamics from data. It was demonstrated to refine existing models of gene regulation and ecology, and ident...

Discover network dynamics with neural symbolic regression www.nature.com/articles/s43...

Google Scholar tool gives extra credit to first and last authors Researchers welcome the initiative, but say it doesn’t go far enough to capture the nuance of researcher productivity and impact.

Google Scholar tool gives extra credit to first and last authors www.nature.com/articles/d41...

When Your AI Agent Succumbs to Peer-Pressure: Studying Opinion-Change Dynamics of LLMs We investigate how peer pressure influences the opinions of Large Language Model (LLM) agents across a spectrum of cognitive commitments by embedding them in social networks where they update opinions...

When Your AI Agent Succumbs to Peer-Pressure: Studying Opinion-Change Dynamics of LLMs arxiv.org/abs/2510.19107

Mapping the interaction between science and misinformation in COVID-19 tweets During the COVID-19 pandemic, scientific knowledge evolved rapidly, accompanied by a surge of misinformation, labelled an infodemic by the WHO. In this context, we study the interaction between scienc...

Mapping the interaction between science and misinformation in COVID-19 tweets arxiv.org/abs/2507.01481

Connected components in networks with higher-order interactions We address the problem of defining connected components in hypergraphs, which are models for systems with higher-order interactions. For graphs with dyadic interactions, connected components are defin...

Connected components in networks with higher-order interactions arxiv.org/abs/2504.03060

Eigenvector Localization and Universal Regime Transitions in Multiplex Networks: A Perturbative Approach We study the transition between layer-localized and delocalized regimes in a general contact-based contagion model on multiplex networks. Using the inverse participation ratio, we characterize how act...

Eigenvector Localization and Universal Regime Transitions in Multiplex Networks: A Perturbative Approach arxiv.org/abs/2408.04784

Predictability of Complex Systems The study of complex systems has attracted widespread attention from researchers in the fields of natural sciences, social sciences, and engineering. Prediction is one of the central issues in this fi...

Predictability of Complex Systems arxiv.org/abs/2510.16312

😂😂

Universities are embracing AI: will students get smarter or stop thinking? Millions of students arriving at campuses are now using artificial intelligence. Worries abound.

Universities are embracing AI: will students get smarter or stop thinking? www.nature.com/articles/d41...

The Physics of News, Rumors, and Opinions The boundaries between physical and social networks have narrowed with the advent of the Internet and its pervasive platforms. This has given rise to a complex adaptive information ecosystem where ind...

The Physics of News, Rumors, and Opinions arxiv.org/abs/2510.15053

Drug-disease networks and drug repurposing Author summary Repurposing of existing drugs to treat new diseases is an important avenue for drug development, but there are millions of potential drug-disease combinations to be considered with only...

Drug-disease networks and drug repurposing journals.plos.org/ploscompbiol...

A data-driven analysis of the impact of non-compliant individuals on epidemic diffusion in urban settings Individuals who do not comply with public health safety measures pose a significant challenge to effective epidemic control, as their risky behaviours can undermine public health interventions. This i...

A data-driven analysis of the impact of non-compliant individuals on epidemic diffusion in urban settings arxiv.org/abs/2506.13325

Ideology and polarization set the agenda on social media The abundance of information on social media has reshaped public discussions, shifting attention to the mechanisms that drive online discourse. This study analyzes large-scale Twitter (now X) data fro...

Ideology and polarization set the agenda on social media arxiv.org/abs/2412.05176

Airborne assessment uncovers socioeconomic stratification of urban nature in England Urban green infrastructure is essential for climate resilience, public health, and environmental justice. Yet, the absence of standardised methods to quantify urban nature hinders the development of e...

Airborne assessment uncovers socioeconomic stratification of urban nature in England arxiv.org/abs/2510.13861

Large scale statistically validated comorbidity networks We obtain comorbidity networks starting from medical information stored in electronic health records collected by the Wellbeing Services County of Southwest Finland (Varha). Based on the data, we asso...

Large scale statistically validated comorbidity networks arxiv.org/abs/2510.09737

Dynamical Phase Transitions in Nonequilibrium Networks link.aps.org/doi/10.1103/...

Principled Model Selection for Stochastic Dynamics link.aps.org/doi/10.1103/...

Global disparities in the introduction, scale-up, and effectiveness evaluation of COVID-19 vaccines www.nature.com/articles/s41...

Triadic percolation on multilayer networks Triadic interactions are special types of higher-order interactions that occur when regulator nodes modulate the interactions between other two or more nodes. In presence of triadic interactions, a pe...

Triadic percolation on multilayer networks arxiv.org/abs/2510.09341

Multiplexons: Limits of Multiplex Networks In a multiplex network, a set of nodes is connected by different types of interactions, each represented as a separate layer within the network. Multiplexes have emerged as a key instrument for modeli...

Multiplexons: Limits of Multiplex Networks arxiv.org/abs/2510.08639

How liveable are London's 15-minute neighbourhoods? Exploring liveability profiles and active travel patterns in London Healthy and liveable neighbourhoods have increasingly been recognised as essential components of sustainable urban development. Yet, ambiguity surrounding their definition and constituent elements pre...

How liveable are London's 15-minute neighbourhoods? Exploring liveability profiles and active travel patterns in London arxiv.org/abs/2510.09296

Social inequalities in vaccine coverage and their effects on epidemic spreading Author summary We investigate how social inequalities in vaccination uptake influence epidemic outcomes. To this end, we adopt a generalized modeling framework to incorporate socioeconomic status (SES...

Latest out: Social inequalities in vaccine coverage and their effects on epidemic spreading. Great collaboration with Adriana Manna and @martonkarsai.bsky.social journals.plos.org/ploscompbiol...

Concise network models of memory dynamics reveal explainable patterns in path data Concise network models interpolating between Markov orders balance simplicity and quality of fit to reveal patterns in path data.

Concise network models of memory dynamics reveal explainable patterns in path data | Science Advances www.science.org/doi/10.1126/...

Indirect Influence on Network Diffusion Models of network diffusion typically rely on the Laplacian matrix, capturing interactions via direct connections. Beyond direct interactions, information in many systems can also flow via indirect pa...

Indirect Influence on Network Diffusion arxiv.org/abs/2505.05931

Superspreading and the evolution of virulence Author summary The impact of infectious disease can vary from individual to individual. Superspreader events, where a few individuals cause a high proportion of infections, are critical to the spread ...

Superspreading and the evolution of virulence journals.plos.org/ploscompbiol...

Efficient and accurate search in petabase-scale sequence repositories - Nature MetaGraph enables scalable indexing of large sets of DNA, RNA or protein sequences using annotated de Bruijn graphs.

Efficient and accurate search in petabase-scale sequence repositories www.nature.com/articles/s41...

Age and gender distortion in online media and large language models - Nature Stereotypes of age-related gender bias are socially distorted, as evidenced by the age gap in the representations of women and men across various media and algorithms, despite no systematic age differences in the workforce.

Age and gender distortion in online media and large language models www.nature.com/articles/s41...

Emergent Directedness in Social Contagion An enduring challenge in contagion theory is that the pathways contagions follow through social networks exhibit emergent complexities that are difficult to predict using network structure. Here, we a...

Emergent Directedness in Social Contagion arxiv.org/abs/2510.06012

Collective dynamics on higher-order networks Higher-order interactions that nonlinearly couple more than two nodes are ubiquitous in networked systems. Here we provide an overview of the rapidly growing field of dynamical systems with higher-ord...

Collective dynamics on higher-order networks arxiv.org/abs/2510.05253