Complexity Science Hub

Mesoscale structures in signed networks

Mesoscale structures in signed networks have been studied under the limiting assumption of the validity of social balance theory, which predicts positive connections within groups and negative connections between groups. Here, we propose and apply a methodology that overcomes thi...

Thermodynamics of driven systems with explicitly broken detailed balance

Abstract In systems with detailed balance, the stationary distribution and the equilibrium distribution are identical, creating a clear connection between energetic and entropic quantities. Many driven systems violate detailed balance and still pose a challenge for a consistent t...

The impact of dimensionality on the stability of node embeddings

Abstract Previous work has shown that node embedding methods can produce different representations and downstream predictions across repeated training runs, even when trained on the same data with identical hyperparameters. However, the role of embedding dimensionality in this in...

Open-access model for detecting openly dumped dispersed municipal solid waste from crowdsourced UAV imagery in Sub-Saharan Africa

Managing municipal solid waste in rapidly urbanizing Sub-Saharan Africa remains challenging due to dispersed informal dumping and limited high-resolution datasets for spatial monitoring. We present an open-access deep learning model for automated detection of openly dumped disper...

Characterization of diseases in temporal comorbidity networks

Comorbidity networks, or disease-disease networks, represent relationships between diseases and can reveal non-random disease associations and multimorbidity structure. These patterns reflect shared pathophysiology, diagnostic pathways, and risk of adverse outcomes. Using large-s...

Persona-prompted LLM agents achieve modest but genuine prediction of human social media reactions

Abstract Social media platforms mediate how billions form opinions and engage with public discourse. As autonomous AI agents increasingly participate in these spaces, understanding their behavioral fidelity becomes critical for platform governance and democratic resilience. Previ...

Scaling of Urban 3D Form with Emissions and GDP in Chinese Cities

Abstract Rapid urbanization has permanently transformed the face of cities. As the physical manifestation of these transformations, urban form provides a key basis for examining its connections with urban outcomes. While previous studies have primarily focused on two-dimensional...

Multiscale patterns of migration flows in Austria: regionalization, administrative barriers, and urban-rural divides

Abstract Migration is central to various societal problems related to socioeconomic development. While much of the existing research has focused on international migration, migration patterns within a single country remain relatively unexplored. In this work, we study internal mi...

Placebo Analgesia Does Not Generalize From Pain to Interoceptive Abilities: A Preregistered Exploratory Study

Placebo pills reliably reduce pain. Pain perception is tied to increased arousal and heart rate. Heart rate perception is, in turn, closely related to interoceptive signals processing, for example, pain and autonomic regulation. However, no studies so far have systematically exam...

Hepatitis-associated virus infections in Austrian equids: A survey of equids sampled across Austria

This study aimed to determine the (sero)prevalence of equine hepacivirus (EqHV), equine parvovirus-hepatitis (EqPV-H), equid hepatitis B virus (EqHBV) and hepatitis E virus (HEV), in equids across Austria and to identify associated risk factors. In a cross-sectional study conduct...

From Case-Level to System-Level AI: Agentic Governance as the Next Frontier of AI-Native Automation

Agentic AI expands the set of tasks that can be automated, but the more consequential shift concerns the unit of automation itself. In classical automation, the method is largely specified in advance and software scales its execution. At the next level, AI can construct part of t...

From Case-Level to System-Level AI: Agentic Governance as the Next Frontier of AI-Native Automation

Agentic AI expands the set of tasks that can be automated, but the more consequential shift concerns the unit of automation itself. In classical automation, the method is largely specified in advance and software scales its execution. At the next level, AI can construct part of t...

AI agents can coordinate via majority-following beyond human scale

Large language models (LLMs) are increasingly deployed in collaborative tasks forming “AI agent societies” where agents interact and influence one another. Whether such groups can spontaneously coordinate without external influence, a hallmark of self-organized regulation in huma...

Galactic Brains, Zombie Apocalypse, and the Poiesis of an Ecology of Metamodern Myths

Old myths have lost their power, while current mythologies fail to guide us through the coming metacrisis. The hypermodern salvation myth of galactic brains is inapplicable. The postmodern myth of the zombie apocalypse provides no positive vision. A new kind of mythopoiesis is ne...