Search results for "Computer Science::Social and Information Networks"

showing 10 items of 10 documents

A New Intelligent Technique of Constructing Optimal Airline Seat Protection Levels for Multiple Nested Fare Classes of Single-Leg Flights

2019

A new, rigorous formulation of the optimization problem of airline seat protection levels for multiple nested fare classes is presented. A number of results useful for practical application are obtained. A numerical example is given.

021110 strategic defence & security studiesMathematical optimizationOptimization problemComputer science0211 other engineering and technologies0202 electrical engineering electronic engineering information engineeringComputerApplications_COMPUTERSINOTHERSYSTEMS020201 artificial intelligence & image processingComputer Science::Social and Information Networks02 engineering and technologyComputer Science::Computers and Society2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)
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Competition for long-haul connecting traffic among airports in Europe and the Middle East

2017

Abstract This paper analyzes the competitive position of major hub airports in Europe and the Middle East for long-haul connecting traffic. We apply a connection builder to construct competitive flight connections. A stand out feature of the proposed connection builder is the calibration of the model parameters using booking data, composed of actual passenger demand between a given origin and destination (O&D) market. The methodology is applied to measure competition between hubs using flight schedule data to calculate connectivity measures like the number of city-pairs connected via a hub airport. Our results show that the Middle Eastern hubs have improved their competitive position, while…

050210 logistics & transportationMiddle EastOperations researchbusiness.industry020209 energyStrategy and Management05 social sciencesTransportationModel parametersComputer Science::Social and Information Networks02 engineering and technologyManagement Monitoring Policy and LawCompetition (economics)Network management0502 economics and businessFlight schedule0202 electrical engineering electronic engineering information engineeringPosition (finance)businessTelecommunicationsLawJournal of Air Transport Management
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Computation of Unstable Binodals Not Requiring Concentration Derivatives of the Gibbs Energy

1998

The equilibrium of three liquid phases in a binary mixture implies the existence of tie lines and binodals that are different from the normal experimentally observable ones. First of all, there are the metastable extensions of the binodal built up by S/S tie lines. These S/S tie lines fulfill the equilibrium condition of the minimum of the Gibbs energy of the entire two-phase system. Both coexisting phases are located within the meta(stable) region. There are two additional types of tie lines:  U/U (maximum of the Gibbs energy; both end points within the unstable area) and U/S tie lines (saddle point; one end point within the (meta)stable, the other within the unstable region). All types of…

BinodalChemistryComponent (thermodynamics)Binary numberThermodynamicsObservableComputer Science::Social and Information NetworksSurfaces Coatings and FilmsGibbs free energysymbols.namesakeSaddle pointMetastabilityMaterials ChemistrysymbolsPhysical and Theoretical ChemistryTie lineThe Journal of Physical Chemistry B
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Probabilistic stability analysis of social obesity epidemic by a delayed stochastic model

2014

Abstract Sufficient conditions for stability in probability of the equilibrium point of a social obesity epidemic model with distributed delay and stochastic perturbations are obtained. The obesity epidemic model is demonstrated on the example of the Region of Valencia, Spain. The considered nonlinear system is linearized in the neighborhood of the positive point of equilibrium and a sufficient condition for asymptotic mean square stability of the zero solution of the constructed linear system is obtained.

Equilibrium pointMathematical optimizationStochastic modellingApplied MathematicsLinear systemGeneral EngineeringProbabilistic logicZero (complex analysis)Computer Science::Social and Information NetworksGeneral MedicineQuantitative Biology::OtherStability (probability)Computational MathematicsNonlinear systemApplied mathematicsEpidemic modelGeneral Economics Econometrics and FinanceAnalysisMathematicsNonlinear Analysis: Real World Applications
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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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Models and solution methods for the uncapacitatedr-allocationp-hub equitable center problem

2017

Hub networks are commonly used in telecommunications and logistics to connect origins to destinations in situations where a direct connection between each origin–destination (o-d) pair is impractical or too costly. Hubs serve as switching points to consolidate and route traffic in order to realize economies of scale. The main decisions associated with hub-network problems include (1) determining the number of hubs (p), (2) selecting the p-nodes in the network that will serve as hubs, (3) allocating non-hub nodes (terminals) to up to r-hubs, and (4) routing the pairwise o-d traffic. Typically, hub location problems include all four decisions while hub allocation problems assume that the valu…

Physics::Physics and SocietyMathematical optimization021103 operations researchTotal costComputer scienceQuantitative Biology::Molecular NetworksStrategy and ManagementQuality of serviceMaximum cost0211 other engineering and technologiesComputer Science::Social and Information Networks02 engineering and technologyManagement Science and Operations ResearchFacility location problemComputer Science ApplicationsEconomies of scaleComputingMethodologies_PATTERNRECOGNITIONManagement of Technology and Innovation0202 electrical engineering electronic engineering information engineeringComputingMilieux_COMPUTERSANDSOCIETY020201 artificial intelligence & image processingPairwise comparisonCenter (algebra and category theory)Business and International ManagementRouting (electronic design automation)International Transactions in Operational Research
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Mean-Field Game Modeling the Bandwagon Effect with Activation Costs

2015

This paper provides a mean-field game theoretic model of the bandwagon effect in social networks. This effect can be observed whenever individuals tend to align their own opinions to a mainstream opinion. The contribution is threefold. First, we describe the opinion propagation as a mean-field game with local interactions. Second, we establish mean-field equilibrium strategies in the case where the mainstream opinion is constant. Such strategies are shown to have a threshold structure. Third, we extend the use of threshold strategies to the case of time-varying mainstream opinion and study the evolution of the macroscopic system.

Physics::Physics and SocietyStatistics and Probability0209 industrial biotechnologyEconomics and Econometrics02 engineering and technologyMean-field gamesMean field gameActivation costs; Bandwagon effect; Games with infinitely many players; Mean-field games; Mode; Threshold policies;01 natural sciencesActivation costs010305 fluids & plasmasMicroeconomics020901 industrial engineering & automationOpinion dynamicsGames with infinitely many players; Bandwagon effect; Activation costs; Threshold policies; Mean-field games; ModeMean-field game0103 physical sciencesEconomicsThreshold policiesMainstreamBandwagon effectStructure (mathematical logic)Game theoreticApplied MathematicsMode (statistics)Computer Science::Social and Information NetworksComputer Graphics and Computer-Aided DesignComputer Science ApplicationsComputational MathematicsActivation costComputational Theory and MathematicsGames with infinitely many playersGames with infinitely many playerModeSettore MAT/09 - Ricerca OperativaConstant (mathematics)Threshold policieMathematical economicsBandwagon effectDynamic Games and Applications
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Stability of a stochastic SIR system

2005

Abstract We propose a stochastic SIR model with or without distributed time delay and we study the stability of disease-free equilibrium. The numerical simulation of the stochastic SIR model shows that the introduction of noise modifies the threshold of system for an epidemic to occur and the threshold stochastic value is found.

Statistics and ProbabilityLyapunov functionStochastic stabilityComputer simulationStochastic processComputer Science::Social and Information NetworksCondensed Matter PhysicsStability (probability)Noise (electronics)SIR model Lyapunov function Stochastic process Stochastic stabilitysymbols.namesakeControl theorysymbolsQuantitative Biology::Populations and EvolutionApplied mathematicsEpidemic modelMathematicsPhysica A: Statistical Mechanics and its Applications
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Opinion dynamics and stubbornness through mean-field games

2013

This paper provides a mean field game theoretic interpretation of opinion dynamics and stubbornness. The model describes a crowd-seeking homogeneous population of agents, under the influence of one stubborn agent. The game takes on the form of two partial differential equations, the Hamilton-Jacobi-Bellman equation and the Kolmogorov-Fokker-Planck equation for the individual optimal response and the population evolution, respectively. For the game of interest, we establish a mean field equilibrium where all agents reach epsilon-consensus in a neighborhood of the stubborn agent's opinion.

education.field_of_studyPartial differential equationControl and OptimizationDifferential equationMulti-agent systemPopulationComputer Science::Social and Information NetworksControl and Systems Engineering; Modeling and Simulation; Control and OptimizationInterpretation (model theory)Computer Science::Multiagent SystemsStochastic partial differential equationMean field theoryComputer Science::Systems and ControlControl and Systems EngineeringModeling and Simulationopinion dynamicseducationMathematical economicsGame theoryMathematics
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Modeling epidemics through ladder operators

2020

Highlights • We propose an operatorial model to describe epidemics. • The model describes well the asymptotic numbers of the epidemics. • Ladder operators are used to model exchanges between the “actors” of the system.

operatorial modelCoronavirus disease 2019 (COVID-19)Computer scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)General MathematicsGeneral Physics and Astronomy01 natural sciencesMeasure (mathematics)Quantitative Biology::OtherArticle010305 fluids & plasmasOperator (computer programming)Simple (abstract algebra)0103 physical sciencesApplied mathematicsQuantitative Biology::Populations and EvolutionLimit (mathematics)Quantitative Biology - Populations and Evolution010301 acousticsSettore MAT/07 - Fisica MatematicaApplied MathematicsPopulations and Evolution (q-bio.PE)Statistical and Nonlinear PhysicsComputer Science::Social and Information NetworksTransformation (function)Ladder operatorspreading of newsFOS: Biological sciences( H ρ ) -induced dynamicChaos, Solitons, and Fractals
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