The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

Temporal graphs are widely used to model dynamic systems with time-varying interactions.
In real-world scenarios, the underlying mechanisms of generating future interactions in …

Rare and everywhere: Perspectives on scale-free networks | Nature Communications Skip to
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Although the origin of the fat-tail characteristic of the degree distribution in complex networks
has been extensively researched, the underlying cause of the degree distribution …

Understanding the causes and consequences of, and devising countermeasures to, global
warming is a profoundly complex problem. Network representations are sometimes the only …

Social networks fundamentally shape human opinions, behaviors, and the dissemination of
information. As large language models (LLMs) like GPT, Claude, and Llama increasingly …

We propose a novel model-selection method for dynamic networks. Our approach involves
training a classifier on a large body of synthetic network data. The data is generated by …

Many social and biological systems are characterized by enduring hierarchies, including
those organized around prestige in academia, dominance in animal groups, and desirability …

Faculty hiring networks—who hires whose graduates as faculty—exhibit steep hierarchies,
which can reinforce both social and epistemic inequalities in academia. Understanding the …

Online health communities offer the promise of support benefits to users, in particular
because these communities enable users to find peers with similar experiences. Building …