A5045565551- Complex Systems and Time Series Analysis
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Statistical Mechanics and Entropy
- Banking stability, regulation, efficiency
- Evolutionary Game Theory and Cooperation
- Economic theories and models
- Advanced Thermodynamics and Statistical Mechanics
- COVID-19 epidemiological studies
- Supply Chain Resilience and Risk Management
- Evolution and Genetic Dynamics
- Ecosystem dynamics and resilience
- Global Financial Crisis and Policies
- Mental Health Research Topics
- Credit Risk and Financial Regulations
- Theoretical and Computational Physics
- Bioinformatics and Genomic Networks
- Economic and Technological Innovation
- Chronic Disease Management Strategies
- Insurance and Financial Risk Management
- Gene Regulatory Network Analysis
- Market Dynamics and Volatility
- Nonlinear Dynamics and Pattern Formation
- Benford’s Law and Fraud Detection
- Gene expression and cancer classification
Complexity Science Hub Vienna
2016-2025
Medical University of Vienna
2016-2025
Santa Fe Institute
2015-2024
International Institute for Applied Systems Analysis
2015-2024
Austrian Standards
2023-2024
Austrian Research Institute for Artificial Intelligence
2023
Leiden University
2023
National Research Foundation
2023
Stellenbosch University
2023
Hungarian National Bank
2023
Assessing the effectiveness of non-pharmaceutical interventions (NPIs) to mitigate spread SARS-CoV-2 is critical inform future preparedness response plans. Here we quantify impact 6,068 hierarchically coded NPIs implemented in 79 territories on effective reproduction number, Rt, COVID-19. We propose a modelling approach that combines four computational techniques merging statistical, inference and artificial intelligence tools. validate our findings with two external datasets recording...
The capacity to collect fingerprints of individuals in online media has revolutionized the way researchers explore human society. Social systems can be seen as a nonlinear superposition multitude complex social networks, where nodes represent and links capture variety different relations. Much emphasis been put on network topology interactions, however, multidimensional nature these interactions largely ignored, mostly because lack data. Here, for first time, we analyze complete,...
Abstract We provide an empirical analysis of the network structure Austrian interbank market based on Central Bank (OeNB) data. The is interpreted as a where banks are nodes and claims liabilities between define links. This allows us to apply methods from general theory. find that degree distributions follow power laws. Given this result we discuss how affects stability banking system with respect elimination node in network, i.e. default single bank. Further, liability shows community...
In response to the COVID-19 pandemic, governments have implemented a wide range of non-pharmaceutical interventions (NPIs). Monitoring and documenting government strategies during crisis is crucial understand progression epidemic. Following content analysis strategy existing public information sources, we developed specific hierarchical coding scheme for NPIs. We generated comprehensive structured dataset their respective timelines implementation. To improve transparency motivate...
Many countries have passed their first COVID-19 epidemic peak. Traditional epidemiological models describe this as a result of non-pharmaceutical interventions that pushed the growth rate below recovery rate. In new phase pandemic many show an almost linear confirmed cases for extended time-periods. This containment regime is hard to explain by traditional where infection numbers either grow explosively until herd immunity reached, or completely suppressed (zero cases). Here we offer...
Abstract The 2021 Nobel Prize in Physics recognized the fundamental role of complex systems natural sciences. In order to celebrate this milestone, editorial presents point view board JPhys Complexity on achievements, challenges, and future prospects field. To distinguish voice opinion each editor, consists a series editor perspectives reflections few selected themes. A comprehensive multi-faceted field complexity science emerges. We hope trust that open discussion will be inspiration for...
We study the microscopic time fluctuations of traffic load and global statistical properties a dense particles on scale-free cyclic graphs. For wide range driving rates R is stationary series exhibits antipersistence due to regulatory role superstructure associated with two hub nodes in network. discuss how affects functioning network at high density jamming threshold. The degree correlations systematically decreases increasing eventually disappears when approaching R(c). Already before we...
Human posture is the result of a complex control system. The joint output several physiological — most likely nonlinearly interacting processes leads to constant correctional movements which enable humans stand upright. These body reflect features underlying mechanisms and have recently been shown be multifractal processes. We analyze healthy quiet standing persons by means wavelet-based spectra. show that functional form these spectra depends on mode balance control. compare findings from...
Fractal and fractal-rate stochastic point processes (FSPPs FRSPPs) provide useful models for describing a broad range of diverse phenomena, including electron transport in amorphous semiconductors, computer-network traffic, sequences neuronal action potentials. A particularly statistic these is the fractal exponent α, which may be estimated any FSPP or FRSPP by using variety statistical methods. Simulated FSPPs FRSPPs consistently exhibit bias this exponent, however, rendering study analysis...
We applied multiresolution wavelet analysis to the sequence of times between human heartbeats ( $R\ensuremath{-}R$ intervals) and have found a scale window, 16 32 heartbeat intervals, over which widths coefficients fall into disjoint sets for normal heart-failure patients. This has enabled us correctly classify every patient in standard data set as belonging either or group with 100% accuracy, thereby providing clinically significant measure presence heart failure from intervals alone....
We build a simple model of leveraged asset purchases with margin calls. Investment funds use what is perhaps the most basic financial strategy, called 'value investing', i.e. systematically attempting to buy underpriced assets. When do not borrow, price fluctuations are approximately normally distributed and uncorrelated across time. This changes when allowed leverage, borrow from bank, which allows them purchase more assets than their wealth would otherwise permit. During good times, that...
Motivated by the hope that thermodynamical framework might be extended to strongly interacting statistical systems —complex in particular— a number of generalized entropies has been proposed past. So far understanding their fundamental origin remained unclear. Here we address this question from first principles. We start observing many fulfill set three general conditions (Shannon-Khinchin axioms, K1–K3). A fourth condition (separability) holds for non-interacting, uncorrelated or Markovian...
Democratic societies are built around the principle of free and fair elections, that each citizen's vote should count equally. National elections can be regarded as large-scale social experiments, where people grouped into usually large numbers electoral districts according to their preferences. The number samples implies statistical consequences for polling results, which used identify election irregularities. Using a suitable data representation, we find distributions with alleged fraud...
Superstatistics describes statistical systems that behave like superpositions of different inverse temperatures β, so the probability distribution is , where “kernel” f ( β ) nonnegative and normalized [∫ dβ = 1]. We discuss relation between this generalized entropic form . The first three Shannon–Khinchin axioms are assumed to hold. It then turns out for a given there two ways construct entropy. One approach uses escort probabilities other does not; question which use must be decided...
Superpositions of social networks, such as communication, friendship, or trade are called multiplex forming the structural backbone human societies. Novel datasets now allow quantification and exploration networks. Here we study gender-specific differences a network from complete behavioral dataset an online-game society about 300,000 players. On individual level females perform better economically less risk-taking than males. Males reciprocate friendship requests faster vice versa hesitate...
Despite the recent availability of large data sets on human movements, a full understanding rules governing motion within social systems is still missing, due to incomplete information socio-economic factors and often limited spatio-temporal resolutions. Here we study an entire society individuals, players online-game, with complete their movements in network-shaped universe economic interactions. Such "socio-economic laboratory" allows unveil intricate interplay spatial constraints,...
Non-pharmaceutical interventions (NPIs) to mitigate the spread of SARS-CoV-2 were often implemented under considerable uncertainty and a lack scientific evidence. Assessing effectiveness individual is critical inform future preparedness response plans. Here we quantify impact 4,579 NPIs in 76 territories on effective reproduction number, R t , COVID-19. We use hierarchically coded data set propose novel modelling approach that combines four computational techniques, which together allow for...
Nodes in a financial network, such as banks, cannot assess the true risks associated with lending to other nodes unless they have full information on riskiness of all nodes. These can be estimated by using network metrics (as DebtRank) interbank liability network. With simple agent based model we show that systemic risk networks drastically reduced increasing transparency, i.e. making DebtRank individual banks visible others and imposing rule, reduces borrowing from systemically risky This...
Financial markets are exposed to systemic risk (SR), the that a major fraction of system ceases function, and collapses. It has recently become possible quantify SR in terms underlying financial networks where nodes represent institutions, links capture size maturity assets (loans), liabilities other obligations, such as derivatives. We demonstrate it is share individual within network contribute overall SR. use empirical data nationwide interbank show marginal contribution for given varies...
Financial markets create endogenous systemic risk, the risk that a substantial fraction of system ceases to function and collapses. Systemic can propagate through different mechanisms channels contagion. One important form financial contagion arises from indirect interconnections between institutions mediated by markets. This interconnection occurs when invest in common assets is referred as overlapping portfolios. In this work we quantify institutions. Complete information security holdings...
An interrelation between cancer and thrombosis is known, but population-based studies on the risk of both arterial thromboembolism (ATE) venous (VTE) have not been performed.International Classification Disease 10th Revision (ICD-10) diagnosis codes all publicly insured persons in Austria (0-90 years) were extracted from Austrian Association Social Security Providers dataset covering years 2006-07 (n = 8 306 244). Patients with a history or active defined as having at least one ICD-10 'C'...
Dependencies in the global food production network can lead to shortages numerous regions, as demonstrated by impacts of Russia-Ukraine conflict on supplies. Here we reveal losses 125 products after a localized shock agricultural 192 countries and territories using multilayer model trade (direct) conversion (indirect), thereby quantifying 108 transmissions. We find that complete loss Ukraine has heterogeneous other countries, causing relative up 89% sunflower oil 85% maize via direct effects...
Abstract Obesity, a highly prevalent disorder and central diagnosis of the metabolic syndrome, is linked to mental health by clinical observations biological pathways. Patients with obesity may show long-lasting increases in risk for receiving psychiatric co-diagnoses. Austrian national registry data inpatient services from 1997 2014 were analyzed detect associations between hospital (ICD-10: E66) disorders grouped level-3 ICD-10 codes. Data stratified age decades each pair diagnoses...