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A complex systems view on physical activity with actionable insights for behaviour change - Nature Human Behaviour Physical inactivity is a major public health concern. This Perspective advocates for a complex systems approach to physical activity, emphasizing dynamic, interdisciplinary strategies to design more e...

A complex systems view on physical activity with actionable insights for behaviour change www.nature.com/articles/s41...

Quantifying large language model usage in scientific papers - Nature Human Behaviour Liang et al. estimate the prevalence of text modified by large language models in recent scientific papers and preprints, finding widespread use (up to 17.5% of papers in computer science).

Quantifying large language model usage in scientific papers www.nature.com/articles/s41...

Projecting Multimorbidity and Mortality under Demographic Change and Preventive Interventions As populations age, the rise of multimorbidity poses a significant healthcare challenge. However, our ability to quantitatively forecast the progression of multimorbidity remains limited. Leveraging a...

Projecting Multimorbidity and Mortality under Demographic Change and Preventive Interventions arxiv.org/abs/2403.14296

Phase transition in the susceptible-infected model on hypernetworks link.aps.org/doi/10.1103/...

Phase transition in the susceptible-infected model on hypernetworks link.aps.org/doi/10.1103/...

Rethinking behaviour change interventions in policymaking - Nature Human Behaviour Behaviour change interventions that are unsuccessful may often be limited by structural constraints. Accumulating evidence across contexts helps to diagnose these barriers. Policymakers should combine...

Rethinking behaviour change interventions in policymaking www.nature.com/articles/s41...

Norms emerge through iterated learning www.pnas.org/doi/abs/10.1...

Explosive neural networks via higher-order interactions in curved statistical manifolds - Nature Communications Higher-order interactions shape complex neural dynamics but are hard to model. Here, authors use a generalization of the maximum entropy principle to introduce a family of curved neural networks, reve...

Explosive neural networks via higher-order interactions in curved statistical manifolds www.nature.com/articles/s41...

Assessing the risk of diseases with epidemic and pandemic potential in a changing world Human activities increase zoonotic disease risk.

Assessing the risk of diseases with epidemic and pandemic potential in a changing world | Science Advances www.science.org/doi/10.1126/...

Modeling full-scale leaf venation networks Author summary One of the most familiar characteristics of a leaf is its reticulate vein network, which, among other functions, is responsible for transporting and distributing water from the stem thr...

Modeling full-scale leaf venation networks journals.plos.org/ploscompbiol...

Linear Scaling Causal Discovery from High-Dimensional Time Series by Dynamical Community Detection A new statistical test identifies groups of variables that are mutually coupled and can be represented in a causal graph as single, aggregated nodes, which allows the extraction of hierarchical struct...

Linear Scaling Causal Discovery from High-Dimensional Time Series by Dynamical Community Detection link.aps.org/doi/10.1103/...

From Signed Networks to Group Graphs I define a "group graph" which encodes the symmetry in a dynamical process on a network. Group graphs extend signed networks, where links are labelled with plus or minus one, by allowing link labels f...

From Signed Networks to Group Graphs arxiv.org/abs/2505.22802

Language bubbles in online social networks Social media platforms have become essential spaces for public discourse. While political polarisation and limited communication across different groups are widely acknowledged, the connection between...

Language bubbles in online social networks arxiv.org/abs/2507.13068

The Trade-Off between Directness and Coverage in Transport Network Growth Designing spatial networks, such as transport networks, commonly deals with the problem of how to best connect a set of locations through a set of links. In practice, it can be crucial to order the im...

The Trade-Off between Directness and Coverage in Transport Network Growth arxiv.org/abs/2507.13005

Negative Ties Highlight Hidden Extremes in Social Media Polarization Human interactions in the online world comprise a combination of positive and negative exchanges. These diverse interactions can be captured using signed network representations, where edges take posi...

Negative Ties Highlight Hidden Extremes in Social Media Polarization arxiv.org/abs/2501.05590

Decoupling geographical constraints from human mobility Driven by access to large volumes of movement data, the study of human mobility has grown rapidly over the past decades. The field has shown that human mobility is scale-free, proposed models to gener...

Decoupling geographical constraints from human mobility arxiv.org/abs/2405.08746

Social polarization promoted by sparse higher-order interactions Many social interactions are group-based, yet their role in social polarization remains largely unexplored. To bridge this gap here we introduce a higher-order framework that takes into account both g...

Social polarization promoted by sparse higher-order interactions arxiv.org/abs/2507.12325

Global scale assessment of the human-induced extinction crisis of terrestrial carnivores Conservation lands and human-affected biomes with quality habitats are vital for the persistence of carnivores worldwide.

Global scale assessment of the human-induced extinction crisis of terrestrial carnivores | Science Advances www.science.org/doi/10.1126/...

Geometric Criticality in Scale-Invariant Networks Dimension in physical systems determines universal properties at criticality. Yet, the impact of structural perturbations on dimensionality remains largely unexplored. Here, we characterize the attrac...

Geometric Criticality in Scale-Invariant Networks arxiv.org/abs/2507.11348

Opinion dynamics: Statistical physics and beyond Opinion dynamics, the study of how individual beliefs and collective public opinion evolve, is a fertile domain for applying statistical physics to complex social phenomena. Like physical systems, soc...

Opinion dynamics: Statistical physics and beyond arxiv.org/abs/2507.11521

HIF: The hypergraph interchange format for higher-order networks Many empirical systems contain complex interactions of arbitrary size, representing, for example, chemical reactions, social groups, co-authorship relationships, and ecological dependencies. These int...

HIF: The hypergraph interchange format for higher-order networks arxiv.org/abs/2507.11520

Multiscale patterns of migration flows in Austria: regionalization, administrative barriers, and urban-rural divides Migration is central in various societal problems related to socioeconomic development. While much of the existing research has focused on international migration, migration patterns within a single c...

Multiscale patterns of migration flows in Austria: regionalization, administrative barriers, and urban-rural divides arxiv.org/abs/2507.11503

Universal self-similarity of hierarchical communities formed through a general self-organizing principle Emergence of self-similarity in hierarchical community structures is ubiquitous in complex systems. Yet, there is a dearth of universal quantification and general principles describing the formation o...

Universal self-similarity of hierarchical communities formed through a general self-organizing principle arxiv.org/abs/2507.11159

Will anyone review this paper? Screening, sorting, and the feedback cycles that imperil peer review Scholarly publishing relies on peer review to identify the best science. Yet finding willing and qualified reviewers to evaluate manuscripts has become an increasingly challenging task, possibly even ...

Will anyone review this paper? Screening, sorting, and the feedback cycles that imperil peer review arxiv.org/abs/2507.10734

Effective One-Dimensional Reduction of Multicompartment Complex Systems Dynamics A physics-based path-integral method simplifies complex compartmental models, enabling better analysis of phase transitions in systems such as epidemics, ecosystems, and infrastructure networks.

Effective One-Dimensional Reduction of Multicompartment Complex Systems Dynamics link.aps.org/doi/10.1103/...

Continuous time random walks on networks link.aps.org/doi/10.1103/...

How multi-scale modeling can help examine social determinants of health and resulting disparities Social determinants of health (SDOH) are the conditions in which people live, work, and play, and the wider set of factors (e.g., social and economic systems and policies) that shape a person’s daily ...

How multi-scale modeling can help examine social determinants of health and resulting disparities journals.plos.org/ploscompbiol...

How large is the universe of RNA-like motifs? A clustering analysis of RNA graph motifs using topological descriptors Author summary This work tackles a key question in RNA motif design: how large is the universe of RNA-like structures? To explore this, we develop a computational framework that uses graph theory and ...

How large is the universe of RNA-like motifs? A clustering analysis of RNA graph motifs using topological descriptors journals.plos.org/ploscompbiol...

Strength and weakness of disease-induced herd immunity in networks www.pnas.org/doi/abs/10.1...

Diffusion of complex contagions is shaped by a trade-off between reach and reinforcement www.pnas.org/doi/abs/10.1...