Search results for "Complex Systems"

showing 10 items of 73 documents

Ecological Complex Systems

2008

Main aim of this topical issue is to report recent advances in noisy nonequilibrium processes useful to describe the dynamics of ecological systems and to address the mechanisms of spatio-temporal pattern formation in ecology both from the experimental and theoretical points of view. This is in order to understand the dynamical behaviour of ecological complex systems through the interplay between nonlinearity, noise, random and periodic environmental interactions. Discovering the microscopic rules and the local interactions which lead to the emergence of specific global patterns or global dynamical behaviour and the noises role in the nonlinear dynamics is an important, key aspect to unders…

Ecological Complex SystemsBiological Physics (physics.bio-ph)FOS: Biological sciencesPopulations and Evolution (q-bio.PE)FOS: Physical sciencesPhysics - Biological PhysicsQuantitative Biology - Populations and Evolution
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Multi-scale analysis of the European airspace using network community detection

2014

We show that the European airspace can be represented as a multi-scale traffic network whose nodes are airports, sectors, or navigation points and links are defined and weighted according to the traffic of flights between the nodes. By using a unique database of the air traffic in the European airspace, we investigate the architecture of these networks with a special emphasis on their community structure. We propose that unsupervised network community detection algorithms can be used to monitor the current use of the airspaces and improve it by guiding the design of new ones. Specifically, we compare the performance of three community detection algorithms, also by using a null model which t…

FOS: Computer and information sciencesDatabases FactualDistributed computingSocial SciencesPoison controllcsh:MedicineSociologycommunity detectionData Mininglcsh:SciencePhysicsMultidisciplinaryMathematical modelApplied MathematicsPhysicsCommunity structureComputer Science - Social and Information NetworksAir traffic controlAir TravelSocial NetworksPhysical SciencesInterdisciplinary PhysicsSocial SystemsEngineering and TechnologyFree flightInformation TechnologyNetwork AnalysisAlgorithmsResearch ArticlePhysics - Physics and SocietyComputer and Information SciencesControl (management)FOS: Physical sciencesComputerApplications_COMPUTERSINOTHERSYSTEMSPhysics and Society (physics.soc-ph)Statistical MechanicsDatabasescomplex networkHumansArchitectureNetworks network communities socio-technical system complex systems Air Traffic ManagementSocial and Information Networks (cs.SI)Null modellcsh:RModels TheoreticalSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Computational SociologySignal ProcessingAir trafficlcsh:QMathematics
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The network of global corporate control.

2011

The structure of the control network of transnational corporations affects global market competition and financial stability. So far, only small national samples were studied and there was no appropriate methodology to assess control globally. We present the first investigation of the architecture of the international ownership network, along with the computation of the control held by each global player. We find that transnational corporations form a giant bow-tie structure and that a large portion of control flows to a small tightly-knit core of financial institutions. This core can be seen as an economic “super-entity” that raises new important issues both for researchers and policy make…

FOS: Computer and information sciencesInternationalityFinancial ManagementEconomicsFinancial intermediarylcsh:MedicineNetwork theorySocial and Behavioral Sciences01 natural sciences010305 fluids & plasmasMicroeconomics050207 economicslcsh:ScienceMutual fundIndustrial organizationProfessional CorporationsMultidisciplinaryCorporate governanceApplied MathematicsPhysics05 social sciencesCommerceComputer Science - Social and Information NetworksComplex SystemsSocial Control PoliciesCore (game theory)Interdisciplinary PhysicsGeneral Finance (q-fin.GN)Quantitative Finance - General FinanceResearch ArticlePhysics - Physics and SocietyControl (management)FOS: Physical sciencesSpatial Economic AnalysisPhysics and Society (physics.soc-ph)BiologyStatistical MechanicsFOS: Economics and businessFinancial management0502 economics and business0103 physical sciencesownership corporate control network theoryStructure of MarketsSocial and Information Networks (cs.SI)business.industryFinancial marketlcsh:RIndustrial Organizationlcsh:QbusinessMathematicsPloS one
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Epidemic spreading and aging in temporal networks with memory

2018

Time-varying network topologies can deeply influence dynamical processes mediated by them. Memory effects in the pattern of interactions among individuals are also known to affect how diffusive and spreading phenomena take place. In this paper we analyze the combined effect of these two ingredients on epidemic dynamics on networks. We study the susceptible-infected-susceptible (SIS) and the susceptible-infected-removed (SIR) models on the recently introduced activity-driven networks with memory. By means of an activity-based mean-field approach we derive, in the long time limit, analytical predictions for the epidemic threshold as a function of the parameters describing the distribution of …

FOS: Computer and information sciencesPhysics - Physics and SocietyComputer scienceAnalytical predictionsEpidemic dynamicsFOS: Physical sciencesPhysics and Society (physics.soc-ph)Network topology01 natural sciences010305 fluids & plasmasNetworks and Complex Systems0103 physical sciencesQuantitative Biology::Populations and EvolutionStatistical physicsLimit (mathematics)010306 general physicsQuantitative Biology - Populations and EvolutionEpidemic controlSocial and Information Networks (cs.SI)Populations and Evolution (q-bio.PE)Computer Science - Social and Information NetworksFunction (mathematics)Computer Science::Social and Information NetworksArticlesDynamic modelsEpidemic thresholdEpidemic spreadingFOS: Biological sciencesMean field approachPhysical Review. E
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Gradients of O-information: Low-order descriptors of high-order dependencies

2023

O-information is an information-theoretic metric that captures the overall balance between redundant and synergistic information shared by groups of three or more variables. To complement the global assessment provided by this metric, here we propose the gradients of the O-information as low-order descriptors that can characterise how high-order effects are localised across a system of interest. We illustrate the capabilities of the proposed framework by revealing the role of specific spins in Ising models with frustration, and on practical data analysis on US macroeconomic data. Our theoretical and empirical analyses demonstrate the potential of these gradients to highlight the contributio…

FOS: Computer and information sciencesPhysics and AstronomyInformation Theory (cs.IT)Computer Science - Information TheoryPhysics - Data Analysis Statistics and ProbabilitySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaFOS: Physical sciencesGeneral Physics and Astronomycomplex systems information theory dynamical systems econophysicsData Analysis Statistics and Probability (physics.data-an)Physical Review Research
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Asymptotic regime in N random interacting species

2005

The asymptotic regime of a complex ecosystem with \emph{N}random interacting species and in the presence of an external multiplicative noise is analyzed. We find the role of the external noise on the long time probability distribution of the i-th density species, the extinction of species and the local field acting on the i-th population. We analyze in detail the transient dynamics of this field and the cavity field, which is the field acting on the $i^{th}$ species when this is absent. We find that the presence or the absence of some population give different asymptotic distributions of these fields.

Fluctuation phenomena random processes noise and Brownian motionPhysicsPhysics - Physics and SocietyFluctuation phenomena random processes noise and Brownian motion; Nonlinear dynamics and nonlinear dynamical systems; Population dynamics and ecological pattern formation; Complex Systemseducation.field_of_studySettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciExtinctionField (physics)PopulationFOS: Physical sciencesComplex SystemsPhysics and Society (physics.soc-ph)External noiseCondensed Matter PhysicsComplex ecosystemMultiplicative noiseElectronic Optical and Magnetic MaterialsProbability distributionQuantitative Biology::Populations and EvolutionStatistical physicsNonlinear dynamics and nonlinear dynamical systemeducationLocal fieldComputer Science::Distributed Parallel and Cluster ComputingPopulation dynamics and ecological pattern formation
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The holonic approach for flexible production: a theoretical framework

2011

This paper discusses the body of knowledge about Holonic Approach to theoretically demonstrate how Holonic Production System (HPS) can be a convincing choice to overcome the problems of traditional production systems? architectures. Today, enterprises are trying to find ways to manage the growing environmental complexity that is well described by Complex Systems Theory (CST). After the focus on the main problem regarding environmental complexity, the Holonic system and the Holonic Production System will be analyzed. The paper will focus the potential of HPS to adapt and react to changes in the business environment whilst being able to maintain systemic synergies and coordination through the…

Holonic production systems Production agility Complex systems Systemic approachSettore SECS-P/08 - Economia E Gestione Delle Imprese
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Households and their Expenditures as an Evolving Complex Social System

2020

Household consumption Complex Systems Statistically Validated NetworksSettore SPS/07 - Sociologia Generale
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Dominating Clasp of the Financial Sector Revealed by Partial Correlation Analysis of the Stock Market

2010

What are the dominant stocks which drive the correlations present among stocks traded in a stock market? Can a correlation analysis provide an answer to this question? In the past, correlation based networks have been proposed as a tool to uncover the underlying backbone of the market. Correlation based networks represent the stocks and their relationships, which are then investigated using different network theory methodologies. Here we introduce a new concept to tackle the above question--the partial correlation network. Partial correlation is a measure of how the correlation between two variables, e.g., stock returns, is affected by a third variable. By using it we define a proxy of stoc…

INFORMATIONEconomicsPORTFOLIO OPTIMIZATIONEconomic Modelslcsh:MedicineNetwork theorySocial and Behavioral SciencesFinancial correlationStock exchangeMicroeconomicsEconometricsEconomicslcsh:ScienceMathematical ComputingMarketingMultidisciplinarySystems BiologyApplied MathematicsPhysicsStatisticsComplex SystemsMathematical EconomicsModels EconomicInterdisciplinary PhysicsAlgorithmsResearch ArticleCORRELATION-BASED NETWORKS; PORTFOLIO OPTIMIZATION; CORRELATION-MATRICES; TIME-SERIES; INFORMATIONNew YorkTIME-SERIESHumansInvestmentsStatistical MethodsCorrelation swapBiologyStructure of MarketsStock (geology)Partial correlationCORRELATION-BASED NETWORKSRegulatory NetworksModels Statisticallcsh:RFinancial marketComputational BiologyIndustrial OrganizationModels TheoreticalCORRELATION-MATRICESlcsh:QStock marketMathematicsForecasting
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Structural and Knowledge Dynamics in Inter-firm Complex Systems

2015

The paper aims to scrutinize the drivers of interfirm network structural dynamics and their influence on knowledge creation and diffusion over time. Interfirm knowledge networks are complex webs of linkages connecting a variety of idiosyncratic firms within and across industries. By serving as conduits through which information, knowledge and other resources flow and reputations are signaled (Poldony, 2001; Owen-Smith & Powell, 2004), they support cooperation in knowledge sharing and creation processes.

Interfirm networkComplex SystemsStructural DynamicKnowledge DynamicSettore SECS-P/08 - Economia E Gestione Delle Imprese
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