A5082779002- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- COVID-19 epidemiological studies
- Complex Systems and Time Series Analysis
- Economic theories and models
- Force Microscopy Techniques and Applications
- Evolutionary Game Theory and Cooperation
- Mechanical and Optical Resonators
- Mathematical and Theoretical Epidemiology and Ecology Models
- Theoretical and Computational Physics
- Adhesion, Friction, and Surface Interactions
- Advanced Chemical Physics Studies
- Crime, Illicit Activities, and Governance
- Game Theory and Applications
- Evolution and Genetic Dynamics
- Material Dynamics and Properties
- Experimental Behavioral Economics Studies
- Economic Theory and Policy
- Crime Patterns and Interventions
- Advanced Thermodynamics and Statistical Mechanics
- Monetary Policy and Economic Impact
- Phase Equilibria and Thermodynamics
- Data-Driven Disease Surveillance
- Network Security and Intrusion Detection
- nanoparticles nucleation surface interactions
Universidade Federal do Rio Grande do Sul
2016-2025
University of Zurich
2020-2021
University of Limerick
2020
Federal Police of Brazil
2020
Université de Montréal
2014
Translational Innovation in Medicine and Complexity
2009
Centre National de la Recherche Scientifique
2009
University of New Mexico
2004-2006
Universidade Federal do Rio Grande
2003
Forschungszentrum Jülich
1999
In the multidisciplinary field of Network Science, optimization procedures for efficiently breaking complex networks is attracting much attention from a practical point view. this contribution, we present module-based method to fragment networks. The procedure firstly identifies topological communities through which network can be represented using well established heuristic algorithm community finding. Then only nodes that participate inter-community links are removed in descending order...
Recent research has shown that criminal networks have complex organizational structures, but whether this can be used to predict static and dynamic properties of remains little explored. Here, by combining graph representation learning machine methods, we show structural political corruption, police intelligence, money laundering recover missing partnerships, distinguish among different types legal associations, as well the total amount exchanged agents, all with outstanding accuracy. We...
Law enforcement and intelligence agencies worldwide struggle to find effective ways fight organized crime reduce criminality. However, illegal networks operate outside the law much of data collected is classified. Therefore, little known about structure, topological weaknesses, control criminal networks. We fill this gap by presenting a unique network built directly Brazilian Federal Police for investigative purposes. study its response different attack strategies, structural...
Abstract The recent epidemic of Coronavirus (COVID-19) that started in China has already been “exported” to more than 140 countries all the continents, evolving most them by local spreading. In this contribution we analyze trends cases reported Chinese provinces, as well some that, until March 15th, 2020, have 500 reported. Notably and differently from other epidemics, provinces did not show an exponential phase. data available at Johns Hopkins University site [1] seem fit algebraic...
The optional public goods game (OPGG) is a three-strategy model in which individuals can cooperate, defect, or not participate. Despite its simplicity, this effectively captures various social dilemmas, including those involving services, environmental sustainability, and broader societal issues. In study, we investigate how the reward (r) group size of potential players (S) games influence steady-state coexistence these strategies alternation their dominance rock-paper-scissors dynamic....
Criminal activities are predominantly due to males, with females exhibiting a significantly lower involvement, especially in serious offenses. This pattern extends organized crime, where often perceived as less tolerant illegal practices. However, the roles of males and within corruption networks understood. Here, we analyze data from political scandals Brazil Spain shed light on gender differences networks. Our findings reveal that constitute 10% 20% all agents Brazilian Spanish networks,...
Abstract Corruption crimes demand highly coordinated actions among criminal agents to succeed. But research dedicated corruption networks is still in its infancy and indeed little known about the properties of these networks. Here we present a comprehensive investigation related political scandals Spain Brazil over nearly three decades. We show that both countries share universal structural dynamical properties, including similar degree distributions, clustering assortativity coefficients,...
The thermal growth of silicon oxide films on Si in dry O2 is modelled as a dynamical system, assuming that it basically diffusion-reaction phenomenon. Relevant findings the last decade are incorporated, structure and composition oxide/Si interface transport reaction at initial stages growth. present model departs from well established Deal Grove framework (Deal, B.E. Grove, A. S. General Relationship for Thermal Oxidation Silicon, J. Appl. Phys. 36, 3770-3778 (1965)) indicating its basic...
Molecular dynamics simulations of a Xe monolayer sliding on Ag(001) and Ag(111) are carried out in order to ascertain the microscopic origin friction. For several values electronic contribution friction individual atoms, intraoverlayer phonon dissipation is calculated as function corrugation amplitude substrate potential, which pertinent parameter consider. Within accuracy numerical results uncertainty with relevant parameters known at present, we conclude that phononic channels similar...
The sliding friction of a dimer moving over periodic substrate and subjected to an external force is studied in the steady state for arbitrary temperatures within one-dimensional model. Nonlinear phenomena that emerge include dynamic bistability hysteresis, can be related earlier observations extended systems such as Frenkel-Kontorova Several observed features satisfactorily explained terms resonance driven-damped nonlinear oscillator. Increasing temperature tends lower resonant peak wash...
Genetic machine learning (ML) algorithms to train agents in the Yard-Sale model proved very useful for finding optimal strategies that maximize their wealth. However, main result indicates more significant fraction of rational agents, greater inequality at collective level. From social and economic viewpoints, this is an undesirable since high diminishes liquidity trade. Besides, with few exceptions, most end up zero wealth, despite inclusion behaviour. To deal situation, here we include a...