Márton Karsai
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View article: Initialisation and network effects in decentralised federated learning
Initialisation and network effects in decentralised federated learning Open
Fully decentralised federated learning enables collaborative training of individual machine learning models on a distributed network of communicating devices while keeping the training data localised on each node. This approach avoids cent…
View article: Social inequalities in vaccine coverage and their effects on epidemic spreading
Social inequalities in vaccine coverage and their effects on epidemic spreading Open
Vaccinations are fundamental public health interventions. Yet, inequalities in vaccine uptake across socioeconomic groups can significantly undermine their impact. Moreover, heterogeneities in vaccination coverage across socioeconomic stra…
View article: Advancing coupled behavioural-epidemic models: An interdisciplinary framework for the collection of empirical data
Advancing coupled behavioural-epidemic models: An interdisciplinary framework for the collection of empirical data Open
Infection control requires integrating behavioural dynamics into epidemic models. However, models often overlook behavioural complexity due to limited empirical data. We adopted an interdisciplinary approach to develop a modelling-oriented…
View article: Competition between simple and complex contagion on temporal networks
Competition between simple and complex contagion on temporal networks Open
Behavioral adoptions of individuals are influenced by their peers in different ways. While in some cases an individual may change behavior after a single incoming influence, in other cases multiple cumulated attempts of social influence ar…
View article: Opinion dynamics: Statistical physics and beyond
Opinion dynamics: Statistical physics and beyond Open
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, societies exhibit macroscopic regularities…
View article: Multiscale patterns of migration flows in Austria: regionalization, administrative barriers, and urban-rural divides
Multiscale patterns of migration flows in Austria: regionalization, administrative barriers, and urban-rural divides Open
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 country remain relatively unexplored. In…
View article: Cannabis Use During Pregnancy: Insights from Online Discourse and Socioeconomic Indicators Across the USA and Canada
Cannabis Use During Pregnancy: Insights from Online Discourse and Socioeconomic Indicators Across the USA and Canada Open
Cannabis use is on the rise, driven by relaxing legal regulations and declining perceptions of harm. This trend, coupled with the increasing reliance on social media for health-related information, has sparked interest in cannabis use duri…
View article: Behavioral response to mobile phone evacuation alerts
Behavioral response to mobile phone evacuation alerts Open
This study examines behavioral responses to mobile phone evacuation alerts during the February 2024 wildfires in Valparaíso, Chile. Using anonymized mobile network data from 580,000 devices, we analyze population movement following emergen…
View article: Evacuation patterns and socioeconomic stratification in the context of wildfires
Evacuation patterns and socioeconomic stratification in the context of wildfires Open
Wildfires are becoming more frequent and intense, leading to increased evacuation events that disrupt mobility and socioeconomic structures, impacting access to resources, employment, and housing. Understanding the interplay between these …
View article: Epidemic paradox induced by awareness driven network dynamics
Epidemic paradox induced by awareness driven network dynamics Open
We study stationary epidemic processes in scale-free networks with local-awareness behavior adopted by only susceptible, only infected, or all nodes. We find that, while the epidemic size in the susceptible-aware and the all-aware models s…
View article: Distinguishing mechanisms of social contagion from local network view
Distinguishing mechanisms of social contagion from local network view Open
The adoption of individual behavioural patterns is largely determined by stimuli arriving from peers via social interactions or from external sources. Based on these influences, individuals are commonly assumed to follow simple or complex …
View article: Measuring and Modeling Bursty Human Phenomena
Measuring and Modeling Bursty Human Phenomena Open
Bursty dynamics characterizes systems that evolve through short active periods of several events, which are separated by long periods of inactivity. Systems with such temporal heterogeneities are not only found in nature but also include e…
View article: Social inequalities in vaccine coverage and their effects on epidemic spreading
Social inequalities in vaccine coverage and their effects on epidemic spreading Open
Vaccinations are fundamental public health interventions. Yet, inequalities in vaccines uptake across socioeconomic groups can significantly undermine their impact. Moreover, heterogeneities in vaccination coverage across socioeconomic str…
View article: One rule does not fit all: deviations from universality in human mobility modeling
One rule does not fit all: deviations from universality in human mobility modeling Open
The accurate modeling of individual movement in cities has significant implications for policy decisions across various sectors. Existing research emphasizes the universality of human mobility, positing that simple models can capture popul…
View article: Competition between simple and complex contagion on temporal networks
Competition between simple and complex contagion on temporal networks Open
Behavioral adoptions are influenced by peers in different ways. While some individuals may change after a single incoming influence, others need multiple cumulated attempts. These two mechanism, known as the simple and the complex contagio…
View article: Generalized contact matrices allow integrating socioeconomic variables into epidemic models
Generalized contact matrices allow integrating socioeconomic variables into epidemic models Open
Variables related to socioeconomic status (SES), including income, ethnicity, and education, shape contact structures and affect the spread of infectious diseases. However, these factors are often overlooked in epidemic models, which typic…
View article: Evacuation patterns and socioeconomic stratification in the context of wildfires in Chile
Evacuation patterns and socioeconomic stratification in the context of wildfires in Chile Open
Climate change is altering the frequency and intensity of wildfires, leading to increased evacuation events that disrupt human mobility and socioeconomic structures. These disruptions affect access to resources, employment, and housing, am…
View article: Epidemic paradox induced by awareness driven network dynamics
Epidemic paradox induced by awareness driven network dynamics Open
We study stationary epidemic processes in scale-free networks with local awareness behavior adopted by only susceptible, only infected, or all nodes. We find that while the epidemic size in the susceptible-aware and the all-aware models sc…
View article: The temporal dynamics of group interactions in higher-order social networks
The temporal dynamics of group interactions in higher-order social networks Open
Representing social systems as networks, starting from the interactions between individuals, sheds light on the mechanisms governing their dynamics. However, networks encode only pairwise interactions, while most social interactions occur …
View article: A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models
A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models Open
Poverty map inference has become a critical focus of research, utilizing both traditional and modern techniques, ranging from regression models to convolutional neural networks applied to tabular data, satellite imagery, and networks. Whil…
View article: Distinguishing mechanisms of social contagion from local network view
Distinguishing mechanisms of social contagion from local network view Open
The adoption of individual behavioural patterns is largely determined by stimuli arriving from peers via social interactions or from external sources. Based on these influences, individuals are commonly assumed to follow simple or complex …
View article: Coarsened Spectral Clustering
Coarsened Spectral Clustering Open
International audience
View article: Epidemic-induced local awareness behavior inferred from surveys and genetic sequence data
Epidemic-induced local awareness behavior inferred from surveys and genetic sequence data Open
Behavior-disease models suggest that pandemics can be contained cost-effectively if individuals take preventive actions when disease prevalence rises among their close contacts. However, assessing local awareness behavior in real-world dat…
View article: Initialisation and Network Effects in Decentralised Federated Learning
Initialisation and Network Effects in Decentralised Federated Learning Open
Fully decentralised federated learning enables collaborative training of individual machine learning models on a distributed network of communicating devices while keeping the training data localised on each node. This approach avoids cent…
View article: THE OPPORTUNITIES, LIMITATIONS, AND CHALLENGES IN USING MACHINE LEARNING TECHNOLOGIES FOR HUMANITARIAN WORK AND DEVELOPMENT
THE OPPORTUNITIES, LIMITATIONS, AND CHALLENGES IN USING MACHINE LEARNING TECHNOLOGIES FOR HUMANITARIAN WORK AND DEVELOPMENT Open
Novel digital data sources and tools like machine learning (ML) and artificial intelligence (AI) have the potential to revolutionize data about development and can contribute to monitoring and mitigating humanitarian problems. The potentia…
View article: Detecting periodic time scales of changes in temporal networks
Detecting periodic time scales of changes in temporal networks Open
Temporal networks are commonly used to represent dynamical complex systems like social networks, simultaneous firing of neurons, human mobility or public transportation. Their dynamics may evolve on multiple time scales characterizing for …