Search results for "Complex Systems"

showing 10 items of 73 documents

Translocation dynamics of a short polymer driven by an oscillating force

2013

Under the terms of the Creative Commons Attribution 3.0 Unported License.

chemistry.chemical_classificationQuantitative Biology::BiomoleculesField (physics)Polymersmedia_common.quotation_subjectDynamics (mechanics)General Physics and AstronomyMonotonic functionPolymerFunction (mathematics)InertiaSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Settore FIS/03 - Fisica Della MateriaQuantitative Biology::Subcellular ProcessesCondensed Matter::Soft Condensed MatterLangevin equationchemistryChemical physicsMetastabilityPolymer translocation Complex Systems Langevin equation Stochastic modelingThermodynamicsStatistical physicsPhysical and Theoretical Chemistrymedia_common
researchProduct

Hierarchical structures in Complex Systems: from DNA to financial markets

2000

In this paper we discuss the concepts of short-range and long-range correlated stochastic processes and we investigate the presence of such variables in two model complex systems. The selected model systems are DNA sequences of complete genomes and financial time series of equities traded in a stock market. Specifically, by starting from our research results, we discuss the statistical properties of (i) coding and non-coding regions of DNA and (ii) equity returns and volatility in financial markets. The stylized facts about these variables are presented and discussed with a focus on the statistical tools already used and/or still needed to better characterize these model complex systems.

complex systems financial markets genomic sequencesSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
researchProduct

Anagraphical relationships and crime specialization within Cosa Nostra

2021

Abstract The aim of the present work is to investigate the relationships established within Cosa Nostra, by making use of networks and complex-systems methods. The analysis is performed at three different levels, that is, individuals, groups within mafia syndicates, and relationships amongst mafia syndicates. The reported empirical analysis is based on the criminal records of 632 affiliates to Cosa Nostra selected from a set of 125 judgements emitted by the Palermo courts from 2000 to 2014. According to the criminal records of the Palermo Prosecutor Office, such a dataset includes approximately 10% of the whole population of Cosa Nostra affiliates in western Sicily. Furthermore, the vital s…

education.field_of_study050402 sociologySociology and Political Science05 social sciencesPopulationGeneral Social SciencesCriminologySyndicateSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)0506 political scienceSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.0504 sociologyAnthropologyPolitical scienceSpecialization (functional)050602 political science & public administrationComplex networks Complex systems Criminal specialization Mafia Social networks Social relationshipseducationGeneral PsychologySocial Networks
researchProduct

Evolutionary Dynamics of Inter-firm Networks: A Complex Systems Perspective

2008

This chapter aims to identify the main determinants that define the architectural properties of network emergence and significantly influence the dynamics underlying network evolution in time. The identification and analysis of these determinants, as well as the dynamic processes tied to them, allows to appreciate the competitive bases and consequences of network morphology. To this purpose, using a complex systems perspective as an integrative conceptual approach, we represent networks as complex dynamic systems of knowledge and capabilities. We perform a comparative in-depth analysis of the processes underlying the emergence and evolution of STMicroelectronic's global network and of Toyot…

evolution of interfirm networks complex systems
researchProduct

Persistence in complex systems

2022

Persistence is an important characteristic of many complex systems in nature, related to how long the system remains at a certain state before changing to a different one. The study of complex systems' persistence involves different definitions and uses different techniques, depending on whether short-term or long-term persistence is considered. In this paper we discuss the most important definitions, concepts, methods, literature and latest results on persistence in complex systems. Firstly, the most used definitions of persistence in short-term and long-term cases are presented. The most relevant methods to characterize persistence are then discussed in both cases. A complete literature r…

fractal dimensionFOS: Computer and information sciencesComplex systemsRenewable energyglobal solar-radiationsystems' statesComplex networksGeneral Physics and AstronomyFOS: Physical scienceslong-term and short-term methodsadaptationzero-temperature dynamicsDynamical Systems (math.DS)Physics - GeophysicsneurosciencememoryMethodology (stat.ME)PersistenceOptimization and planningMemoryMachine learningearthquake magnitude seriesFOS: MathematicsAtmosphere and climateMathematics - Dynamical SystemsAdaptationcomplex systemslow-visibility eventstime-seriesStatistics - Methodologyinflation persistenceLong-term and short-term methodsdetrended fluctuation analysislong-range correlationspersistencecomplex networksSystems’ statesEconomyneural networksrenewable energyGeophysics (physics.geo-ph)atmosphere and climateeconomymachine learningoptimization and planningNeural networkswind-speedNeuroscience
researchProduct

Defining Complexity Factors for Architecture Evaluation Framework

2006

The design and implementation of telecommunication systems is an incremental and iterative process, and system architectures may need to be revised and refined several times during their lifetime. Formal evaluation facilitates the identification of the weak points, where improvements are due in these architectures. In the domain of telecommunications, such evaluation can be based on the Architecture Evaluation Framework (AEF). During the evaluation, a deep understanding of the processes within a system is needed. Meanwhile, the systems being designed are usually complex systems encompassing a large number of components with an intricate pattern of interaction between them. As a result, it i…

järjestelmäarkkitehtuurijärjestelmäsuunnitteluarviointimenetelmättietoliikennejärjestelmätarchitecture evaluationelinkaaricomplex systems
researchProduct

All-Possible-Couplings Approach to Measuring Probabilistic Context.

2013

From behavioral sciences to biology to quantum mechanics, one encounters situations where (i) a system outputs several random variables in response to several inputs, (ii) for each of these responses only some of the inputs may "directly" influence them, but (iii) other inputs provide a "context" for this response by influencing its probabilistic relations to other responses. These contextual influences are very different, say, in classical kinetic theory and in the entanglement paradigm of quantum mechanics, which are traditionally interpreted as representing different forms of physical determinism. One can mathematically construct systems with other types of contextuality, whether or not …

lcsh:MedicineQuantum entanglementSocial and Behavioral Sciences01 natural sciencesQuantitative Biology - Quantitative MethodsJoint probability distributionPsychologyStatistical physicslcsh:ScienceQuantumQuantitative Methods (q-bio.QM)60B99 (Primary) 81Q99 91E45 (Secondary)PhysicsQuantum PhysicsMultidisciplinaryApplied MathematicsPhysics05 social sciencesComplex SystemsMental HealthMedicineMathematics - ProbabilityAlgorithmsResearch ArticleFOS: Physical sciencesContext (language use)Physical determinism050105 experimental psychologyProbability theory0103 physical sciencesFOS: Mathematics0501 psychology and cognitive sciences010306 general physicsQuantum MechanicsProbabilityta113BehaviorModels Statisticallcsh:RProbability (math.PR)Probabilistic logicRandom VariablesProbability TheoryKochen–Specker theoremFOS: Biological sciencesQuantum Theorylcsh:QQuantum EntanglementQuantum Physics (quant-ph)Mathematics
researchProduct

Creating a Framework for Improving the Learnability of a Complex System

2006

When designing complex systems, it is crucial but challenging to make them easy to learn. In this paper, a framework for improving the learnability of a complex system is presented. A classification of factors affecting the learnability of a building modeling system as well as guidelines that refine the factors into practical ways of action are introduced. The factors and guidelines include issues related to the user interface, conformity of the system to user’s expectations, and training. The classification is based on empirical research during which learnability was assessed with several methods. The methodology and the classification of learnability factors can be used as references when…

learnabilityease-of-learningguidelinescomplex systemsgrounded theory
researchProduct

The balanced digitalization and digital security : Case of regional authorities

2019

The emerging digital infrastructure enables the public authorities to shape their processes and to create attractive digital services for the citizens and the business actors. The public processes, services and infrastructure, however, engage with global and local public and private digital infrastructure and service providers. The complex comprehensiveness of the digital infrastructure and the services challenges the public authorities and create new types of security risks. The achieving of the benefits of the digitalization of public processes and services without increasing security risks requires the adopting of novel approaches to digital security. The paper refers to a framework that…

mallintaminendigital servicescyber securitymodelling of digital securityregionscomplex systemsdigitalisaatiokyberturvallisuussystem modellingjulkiset palvelutaluehallintoverkkopalvelut
researchProduct

Unraveling the nature of universal dynamics in O(N) theories

2020

Many-body quantum systems far from equilibrium can exhibit universal scaling dynamics which defy standard classification schemes. Here, we disentangle the dominant excitations in the universal dynamics of highly occupied N-component scalar systems using unequal-time correlators. While previous equal-time studies have conjectured the infrared properties to be universal for all N, we clearly identify for the first time two fundamentally different phenomena relevant at different N. We find all N >= 3 to be indeed dominated by the same Lorentzian "large-N" peak, whereas N = 1 is characterized instead by a non-Lorentzian peak with different properties, and for N = 2, we see a mixture of two cont…

phase space methodsquasiparticlescollective excitationsnonequilibrium systemsbose gasesfluctuation theoremsscaling laws of complex systems
researchProduct