Search results for "Networks"

showing 10 items of 3260 documents

Immunization Strategies Based on the Overlapping Nodes in Networks with Community Structure

2016

International audience; Understanding how the network topology affects the spread of an epidemic is a main concern in order to develop efficient immunization strategies. While there is a great deal of work dealing with the macroscopic topological properties of the networks, few studies have been devoted to the influence of the community structure. Furthermore, while in many real-world networks communities may overlap, in these studies non-overlapping community structures are considered. In order to gain insight about the influence of the overlapping nodes in the epidemic process we conduct an empirical evaluation of basic deterministic immunization strategies based on the overlapping nodes.…

FOS: Computer and information sciencesTheoretical computer science[ INFO ] Computer Science [cs]Computer scienceProcess (engineering)Epidemic02 engineering and technologyNetwork topology01 natural sciencesComplex NetworksDiffusion020204 information systems0103 physical sciencesNode (computer science)[INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY]0202 electrical engineering electronic engineering information engineeringOverlapping community[INFO]Computer Science [cs]010306 general physicsSocial and Information Networks (cs.SI)Connected componentWelfare economicsCommunity structureComputer Science - Social and Information NetworksAttackImmunization (finance)Complex networkDynamicsMembership number[ INFO.INFO-SY ] Computer Science [cs]/Systems and Control [cs.SY]ImmunizationEpidemic model
researchProduct

Semantic Computing of Moods Based on Tags in Social Media of Music

2014

Social tags inherent in online music services such as Last.fm provide a rich source of information on musical moods. The abundance of social tags makes this data highly beneficial for developing techniques to manage and retrieve mood information, and enables study of the relationships between music content and mood representations with data substantially larger than that available for conventional emotion research. However, no systematic assessment has been done on the accuracy of social tags and derived semantic models at capturing mood information in music. We propose a novel technique called Affective Circumplex Transformation (ACT) for representing the moods of music tracks in an interp…

FOS: Computer and information sciencesVocabularyComputer scienceMusic information retrievalmedia_common.quotation_subjectSemantic analysis (machine learning)Moodscomputer.software_genreAffect (psychology)SemanticsComputer Science - Information RetrievalSemantic computingMusic information retrievalAffective computingmedia_commonSocial and Information Networks (cs.SI)ta113Probabilistic latent semantic analysisSocial tagsbusiness.industryComputer Science - Social and Information NetworksMultimedia (cs.MM)Semantic analysisComputer Science ApplicationsMoodComputational Theory and MathematicsWeb miningta6131Vector space modelArtificial intelligenceGenresbusinesscomputerComputer Science - MultimediaInformation Retrieval (cs.IR)MusicNatural language processingPrediction.Information SystemsIEEE Transactions on Knowledge and Data Engineering
researchProduct

MAC Design for WiFi Infrastructure Networks: A Game-Theoretic Approach

2011

In WiFi networks, mobile nodes compete for accessing a shared channel by means of a random access protocol called Distributed Coordination Function (DCF). Although this protocol is in principle fair, since all the stations have the same probability to transmit on the channel, it has been shown that unfair behaviors may emerge in actual networking scenarios because of non-standard configurations of the nodes. Due to the proliferation of open source drivers and programmable cards, enabling an easy customization of the channel access policies, we propose a game-theoretic analysis of random access schemes. Assuming that each node is rational and implements a best response strategy, we show that…

FOS: Computer and information sciencesgame theorycheating nodeaccess protocolsmobile nodesComputer sciencegame-theoretic approachMAC designDistributed coordination functionUpload[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]MAC protocolschannel access policyComputer Science - Computer Science and Game TheoryFOS: MathematicsElectrical and Electronic EngineeringMathematics - Optimization and Controlwireless LANdistributed coordination functionMechanism designcheating nodesWiFi infrastructure networksbusiness.industryApplied MathematicsNode (networking)WiFiComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSWiFi; cheating nodes; game theory; MAC protocolsComputer Science ApplicationsShared resourceprogrammable cardsOptimization and Control (math.OC)game-theoretic analysisBest responserandom access schemebusinessrandom access protocolRandom accessCommunication channelComputer networkComputer Science and Game Theory (cs.GT)
researchProduct

Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer

2023

Tumor-stroma ratio (TSR) is a prognostic factor for many types of solid tumors. In this study, we propose a method for automated estimation of TSR from histopathological images of colorectal cancer. The method is based on convolutional neural networks which were trained to classify colorectal cancer tissue in hematoxylin-eosin stained samples into three classes: stroma, tumor and other. The models were trained using a data set that consists of 1343 whole slide images. Three different training setups were applied with a transfer learning approach using domain-specific data i.e. an external colorectal cancer histopathological data set. The three most accurate models were chosen as a classifie…

FOS: Computer and information sciencessmooth musclesvisionComputer Science - Machine LearningMultidisciplinaryComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognitioncolorectal cancerforecastingennusteetneuroverkotsuolistosyövätneural networksQuantitative Biology - Quantitative MethodsMachine Learning (cs.LG)machine learningkoneoppiminenFOS: Biological sciencessyöpätauditcancers and neoplasmsmalignant tumorsQuantitative Methods (q-bio.QM)
researchProduct

Sector identification in a set of stock return time series traded at the London Stock Exchange

2005

We compare some methods recently used in the literature to detect the existence of a certain degree of common behavior of stock returns belonging to the same economic sector. Specifically, we discuss methods based on random matrix theory and hierarchical clustering techniques. We apply these methods to a portfolio of stocks traded at the London Stock Exchange. The investigated time series are recorded both at a daily time horizon and at a 5-minute time horizon. The correlation coefficient matrix is very different at different time horizons confirming that more structured correlation coefficient matrices are observed for long time horizons. All the considered methods are able to detect econo…

FOS: Economics and businessPhysics - Physics and SocietyStatistical Finance (q-fin.ST)SYSTEMSEXPRESSION DATAQuantitative Finance - Statistical FinanceFOS: Physical sciencesFINANCIAL-MARKETSDisordered Systems and Neural Networks (cond-mat.dis-nn)Physics and Society (physics.soc-ph)Condensed Matter - Disordered Systems and Neural NetworksMATRICESNOISE
researchProduct

Orbital Rotations induced by Charges of Polarons and Defects in Doped Vanadates

2020

We explore the competiton of doped holes and defects that leads to the loss of orbital order in vanadate perovskites. In compounds such as La$_{1-{\sf x}}$Ca$_{\,\sf x}$VO$_3$ spin and orbital order result from super-exchange interactions described by an extended three-orbital degenerate Hubbard-Hund model for the vanadium $t_{2g}$ electrons. Long-range Coulomb potentials of charged Ca$^{2+}$ defects and $e$-$e$ interactions control the emergence of defect states inside the Mott gap. The quadrupolar components of the Coulomb fields of doped holes induce anisotropic orbital rotations of degenerate orbitals. These rotations modify the spin-orbital polaron clouds and compete with orbital rotat…

FOS: Physical sciences02 engineering and technologyElectronPolaron01 natural sciencesCondensed Matter - Strongly Correlated ElectronsAtomic orbital0103 physical sciencesCoulomb010306 general physicsSpin (physics)Condensed Matter - Statistical MechanicsPhysicsCondensed Matter - Materials ScienceStrongly Correlated Electrons (cond-mat.str-el)Statistical Mechanics (cond-mat.stat-mech)Condensed matter physicsMaterials Science (cond-mat.mtrl-sci)Order (ring theory)Disordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural Networks021001 nanoscience & nanotechnologySuperexchangeCharge carrierCondensed Matter::Strongly Correlated ElectronsAstrophysics::Earth and Planetary Astrophysics0210 nano-technology
researchProduct

Exact analytic solution of the multi-dimensional Anderson localization

2004

The method proposed by the present authors to deal analytically with the problem of Anderson localization via disorder [J.Phys.: Condens. Matter {\bf 14} (2002) 13777] is generalized for higher spatial dimensions D. In this way the generalized Lyapunov exponents for diagonal correlators of the wave function, $$, can be calculated analytically and exactly. This permits to determine the phase diagram of the system. For all dimensions $D > 2$ one finds intervals in the energy and the disorder where extended and localized states coexist: the metal-insulator transition should thus be interpreted as a first-order transition. The qualitative differences permit to group the systems into two classes…

FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural Networks
researchProduct

Ar:N$_2$ - a non-universal glass

2014

The bias energies of various two-level systems (TLSs) and their strengths of interactions with the strain are calculated for Ar:N$_2$ glass. Unlike the case in KBr:CN, a distinct class of TLSs having weak interaction with the strain and untypically small bias energies is not found. The addition of CO molecules introduces CO flips which form such a class of weakly interacting TLSs, albeit at much lower coupling than are typically observed in solids. We conclude that because of the absence of a distinct class of weakly interacting TLSs, Ar:N$_2$ is a non-universal glass, the first such system in three dimensions and in ambient pressure. Our results further suggest that Ar:N$_2$:CO may show un…

FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural Networks
researchProduct

A new approach to the analytic solution of the Anderson localization problem for arbitrary dimensions

2005

Subsequent to the ideas presented in our previous papers [J.Phys.: Condens. Matter {\bf 14} (2002) 13777 and Eur. Phys. J. B {\bf 42} (2004) 529], we discuss here in detail a new analytical approach to calculating the phase-diagram for the Anderson localization in arbitrary spatial dimensions. The transition from delocalized to localized states is treated as a generalized diffusion which manifests itself in the divergence of averages of wavefunctions (correlators). This divergence is controlled by the Lyapunov exponent $\gamma$, which is the inverse of the localization length, $\xi=1/\gamma$. The appearance of the generalized diffusion arises due to the instability of a fundamental mode cor…

FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural Networks
researchProduct

Defects, Disorder, and Strong Electron Correlations in Orbital Degenerate, Doped Mott Insulators.

2015

We elucidate the effects of defect disorder and $e$-$e$ interaction on the spectral density of the defect states emerging in the Mott-Hubbard gap of doped transition-metal oxides, such as Y$_{1-x}$Ca$_{x}$VO$_{3}$. A soft gap of kinetic origin develops in the defect band and survives defect disorder for $e$-$e$ interaction strengths comparable to the defect potential and hopping integral values above a doping dependent threshold, otherwise only a pseudogap persists. These two regimes naturally emerge in the statistical distribution of gaps among different defect realizations, which turns out to be of Weibull type. Its shape parameter $k$ determines the exponent of the power-law dependence o…

FOS: Physical sciencesGeneral Physics and Astronomylaw.inventionCondensed Matter - Strongly Correlated ElectronsPhysics and Astronomy (all)lawMesoscale and Nanoscale Physics (cond-mat.mes-hall)Spin (physics)Condensed Matter - Statistical MechanicsPhysicsCondensed Matter - Materials ScienceStrongly Correlated Electrons (cond-mat.str-el)Statistical Mechanics (cond-mat.stat-mech)Condensed Matter - Mesoscale and Nanoscale PhysicsCondensed matter physicsMott insulatorDopingDegenerate energy levelsMaterials Science (cond-mat.mtrl-sci)Disordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksKröger–Vink notationDensity of statesCondensed Matter::Strongly Correlated ElectronsScanning tunneling microscopePseudogapPhysical review letters
researchProduct