Search results for "Complex system"

showing 10 items of 226 documents

Extracting Backbones in Weighted Modular Complex Networks

2020

AbstractNetwork science provides effective tools to model and analyze complex systems. However, the increasing size of real-world networks becomes a major hurdle in order to understand their structure and topological features. Therefore, mapping the original network into a smaller one while preserving its information is an important issue. Extracting the so-called backbone of a network is a very challenging problem that is generally handled either by coarse-graining or filter-based methods. Coarse-graining methods reduce the network size by grouping similar nodes, while filter-based methods prune the network by discarding nodes or edges based on a statistical property. In this paper, we pro…

FOS: Computer and information sciencesPhysics - Physics and SocietyTheoretical computer scienceComputer scienceMathematics and computingComplex systemComplex networkslcsh:MedicineFOS: Physical sciencesNetwork science02 engineering and technologyPhysics and Society (physics.soc-ph)[INFO] Computer Science [cs]01 natural sciencesArticle010305 fluids & plasmasSet (abstract data type)020204 information systems0103 physical sciences0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]lcsh:ScienceAuthor CorrectionComputingMilieux_MISCELLANEOUSConnected componentSocial and Information Networks (cs.SI)Multidisciplinarybusiness.industryPhysicslcsh:RCommunity structureComputer Science - Social and Information NetworksComplex networkModular designlcsh:Qbusiness
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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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Bootstrap validation of links of a minimum spanning tree

2018

We describe two different bootstrap methods applied to the detection of a minimum spanning tree obtained from a set of multivariate variables. We show that two different bootstrap procedures provide partly distinct information that can be highly informative about the investigated complex system. Our case study, based on the investigation of daily returns of a portfolio of stocks traded in the US equity markets, shows the degree of robustness and completeness of the information extracted with popular information filtering methods such as the minimum spanning tree and the planar maximally filtered graph. The first method performs a "row bootstrap" whereas the second method performs a "pair bo…

FOS: Computer and information sciencesStatistics and ProbabilityMultivariate statisticsCorrelation coefficientCovariance matrixReplicaComplex systemMinimum spanning treeCondensed Matter Physics01 natural sciencesSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Minimum spanning tree Bootstrap Planar maximally filtered graph Information filtering Proximity based networks Random matrix theory010305 fluids & plasmasMethodology (stat.ME)0103 physical sciencesStatistics010306 general physicsRandom matrixStatistics - MethodologyMathematics
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Community characterization of heterogeneous complex systems

2011

We introduce an analytical statistical method to characterize the communities detected in heterogeneous complex systems. By posing a suitable null hypothesis, our method makes use of the hypergeometric distribution to assess the probability that a given property is over-expressed in the elements of a community with respect to all the elements of the investigated set. We apply our method to two specific complex networks, namely a network of world movies and a network of physics preprints. The characterization of the elements and of the communities is done in terms of languages and countries for the movie network and of journals and subject categories for papers. We find that our method is ab…

FOS: Computer and information sciencesStatistics and Probabilityrandom graphs networks statistical inference socio-economic networksPhysics - Physics and SocietyTheoretical computer scienceProperty (programming)Complex systemFOS: Physical sciencesPhysics and Society (physics.soc-ph)socio-economic networksStatistical inferenceSocial and Information Networks (cs.SI)Random graphComputer Science - Social and Information NetworksStatistical and Nonlinear PhysicsProbability and statisticsComplex networkSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Hypergeometric distributionPhysics - Data Analysis Statistics and ProbabilitynetworkStatistics Probability and UncertaintyNull hypothesisData Analysis Statistics and Probability (physics.data-an)random graphstatistical inferenceJournal of Statistical Mechanics: Theory and Experiment
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SmartResource Platform and Semantic Agent Programming Language (S-APL)

2007

Although the flexibility of agent interactions has many advantages when it comes to engineering a complex system, the downside is that it leads to certain unpredictability of the run-time system. Literature sketches two major directions for search for a solution: social-level characterization of agent systems and ontological approaches to inter-agent coordination. Especially the latter direction is not yet studied much by the scientific community. This paper describes our vision and the present state of the SmartResource Platform. The main distinctive features of the platform are externalization of behavior prescriptions, i.e. agents access them from organizational repositories, and utiliza…

Flexibility (engineering)ExternalizationComputer scienceProgramming languageComplex systemBehavior ruleState (computer science)computer.file_formatRDFcomputer.software_genrecomputer
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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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Characteristics of neuronal systems in the visual cortex

1987

The coupling complexity of cortical areas makes it very difficult to analyse them experimentally. Studies of model systems provide the possibility of adapting the analysis to the available data base and elaborating the fundamental properties that depend on the structure of the system. We propose a model system of variable complexity that is spatially two-dimensional and time-dependent, uses feedback for iteration and smoothing, includes the mapping of the cortical networks and can be nonlinear as the case requires. Combining such elementary systems on the basis of neuroanatomical findings enables us to simulate cortical mappings and to interpret neurophysiological data. The decisive factor …

General Computer ScienceComputer scienceModels NeurologicalComplex systemRetinamedicineAnimalsVision OcularVisual CortexNeuronsQuantitative Biology::Neurons and CognitionBasis (linear algebra)business.industryPattern recognitionNeurophysiologyNonlinear systemVisual cortexmedicine.anatomical_structureCoupling (computer programming)RetinotopyVisual PerceptionArtificial intelligencebusinessMathematicsSmoothingBiotechnologyBiological Cybernetics
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Classical and relativistic n-body problem: from Levi-Civita to the most advanced interplanetary missions

2022

The n-body problem is one of the most important issue in Celestial Mechanics. This article aims to retrace the historical and scientific events that led the Paduan mathematician, Tullio Levi-Civita, to deal with the problem first from a classic and then a relativistic point of view. We describe Levi-Civita's contributions to the theory of relativity focusing on his epistolary exchanges with Einstein, on the problem of secular acceleration and on the proof of Brillouin's cancellation principle. We also point out that the themes treated by Levi-Civita are very topical. Specifically, we analyse how the mathematical formalism used nowadays to test General Relativity can be found in Levi-Civita'…

General relativityComputer sciencen-body problemn-body problemComplex systemPhysics - History and Philosophy of PhysicsFOS: Physical sciencesGeneral Physics and AstronomyAcceleration (differential geometry)General Relativity and Quantum Cosmology (gr-qc)01 natural sciencesSpace explorationCelestial mechanicsGeneral Relativity and Quantum Cosmologysymbols.namesakeTheoretical physicsTheory of relativity0103 physical sciencessymbolsHistory and Philosophy of Physics (physics.hist-ph)Einstein010306 general physicsSettore MAT/07 - Fisica Matematica010303 astronomy & astrophysicsThe European Physical Journal PLus
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Inverted Repeats in Viral Genomes

2004

We investigate 738 complete genomes of viruses to detect the presence of short inverted repeats. The number of inverted repeats found is compared with the prediction obtained for a Bernoullian and for a Markovian control model. We find as a statistical regularity that the number of observed inverted repeats is often greater than the one expected in terms of a Bernoullian or Markovian model in several of the viruses and in almost all those with a genome longer than 30,000 bp.

Genomics (q-bio.GN)Statistical Mechanics (cond-mat.stat-mech)Complex systemInverted repeatGeneral Mathematicsviral genomeGeneral Physics and AstronomyFOS: Physical sciencesComputational biologyBiologyGenomeQuantitative Biology - Quantitative MethodsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)stochastic processeViral genomesFOS: Biological sciencessecondary RNA struc- tureQuantitative Biology - GenomicsQuantitative Methods (q-bio.QM)Condensed Matter - Statistical MechanicsDNA probabilistic models
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Approximate energy functionals for one-body reduced density matrix functional theory from many-body perturbation theory

2018

We develop a systematic approach to construct energy functionals of the one-particle reduced density matrix (1RDM) for equilibrium systems at finite temperature. The starting point of our formulation is the grand potential $\Omega [\mathbf{G}]$ regarded as variational functional of the Green's function $G$ based on diagrammatic many-body perturbation theory and for which we consider either the Klein or Luttinger-Ward form. By restricting the input Green's function to be one-to-one related to a set on one-particle reduced density matrices (1RDM) this functional becomes a functional of the 1RDM. To establish the one-to-one mapping we use that, at any finite temperature and for a given 1RDM $\…

Grand potentialSolid-state physicsComplex systemFOS: Physical sciencesdensity matrix functional theory01 natural sciencesCondensed Matter - Strongly Correlated Electronssymbols.namesakePhysics - Chemical Physics0103 physical sciencesSDG 7 - Affordable and Clean Energy010306 general physicsMathematical physicsEnergy functionalChemical Physics (physics.chem-ph)PhysicsQuantum Physics/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energyStrongly Correlated Electrons (cond-mat.str-el)010304 chemical physicstiheysfunktionaaliteoriamany-body perturbation theory16. Peace & justiceCondensed Matter PhysicsStationary pointElectronic Optical and Magnetic MaterialsCondensed Matter - Other Condensed Matterapproximate energy functionalssymbolsReduced density matrixapproksimointiQuantum Physics (quant-ph)Hamiltonian (quantum mechanics)Ground stateOther Condensed Matter (cond-mat.other)The European Physical Journal B
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