Search results for "Network"

showing 10 items of 7718 documents

A comparison of community-aware centrality measures in online social networks

2021

[INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI][INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG][INFO] Computer Science [cs]
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An empirical study on classical and community-aware centrality measures in complex networks

2021

Community structure is a ubiquitous feature in natural and artificial systems. Identifying key nodes is a fundamental task to speed up or mitigate any diffusive processes in these systems. Centrality measures aim to do so by selecting a small set of critical nodes. Classical centrality measures are agnostic to community structure, while community-aware centrality measures exploit this property. Several works study the relationship between classical centrality measures, but the relationship between classical and community-aware centrality measures is almost unexplored. In this work [1], we answer two questions: (1) How do classical and community-aware centrality measures relate? (2) What is …

[INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI][INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG][INFO] Computer Science [cs]
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A web application for event detection and exploratory data analysis for Twitter data

2015

International audience

[INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI][SHS.INFO]Humanities and Social Sciences/Library and information sciences[SHS.INFO] Humanities and Social Sciences/Library and information sciencesComputingMilieux_MISCELLANEOUS[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
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Performance evaluation of Wireless Sensor Networks based on ZigBee technology in smart home

2013

International audience; Wireless Sensor Networks (WSNs) has diverse application domains such as smart home, smart care, industrial, etc. In this paper, we present a WSN system based on the ZigBee technology (IEEE 802.15.4) in Smart Home. To have a good sensor networks communication implanted in a smart home, studies of operating performance on this network is important. In this work, we investigate the performance of our ZigBee sensor networks. The study of performance is based on measurements of the Received Signal Strength Indicator (RSSI) in different parts of the Home. We will also discuss the impact of electromagnetic noise on the communication performance of a ZigBee Sensor Network in…

[INFO.INFO-SY] Computer Science [cs]/Systems and Control [cs.SY][ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-IM] Computer Science [cs]/Medical Imaging[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-IT ] Computer Science [cs]/Information Theory [cs.IT][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-IM]Computer Science [cs]/Medical Imaging[INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY]ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS][ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging[SPI.ELEC] Engineering Sciences [physics]/ElectromagnetismComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism[INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT][ SPI.ELEC ] Engineering Sciences [physics]/Electromagnetism[ INFO.INFO-SY ] Computer Science [cs]/Systems and Control [cs.SY][INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT]
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Temporal Semantic Centrality for the Analysis of Communication Networks

2012

National audience; De nos jours, la compréhension des communautés en ligne devient un enjeu majeur du Web. Dans cet article nous proposons une nouvelle mesure, la Probabilité de Propagation Sémantique (SPP), qui caractérise la capacité de l'utilisateur à propager un concept sémantique à d'autres utilisateurs, d'une manière rapide et ciblée. La sémantique des messages est analysée selon une ontologie donnée. Nous utilisons cette mesure pour obtenir la Centralité Sémantique Temporelle (TSC) d'un utilisateur dans une communauté. Nous proposons et évaluons une expérimentation de cette mesure, en utilisant une ontologie et des données réelles issues du Web.

[INFO.INFO-WB] Computer Science [cs]/WebComputer scienceSemantic analysis (machine learning)[ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyOntology (information science)SemanticscommunautéSemantic similarity020204 information systemsSemantic computingcommunication network0202 electrical engineering electronic engineering information engineeringréseau de communicationontologycentralitéontologieanalyse sémantiqueInformation retrieval[INFO.INFO-WB]Computer Science [cs]/WebcentralityTelecommunications networksemantic analysisMetric (mathematics)community020201 artificial intelligence & image processingCentrality
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On Topological Structure of Web Services Networks for Composition. In Int. Journal of Web Engineering and Technology

2013

In order to deal efficiently with the exponential growth of the Web services landscape in composition life cycle activities, it is necessary to have a clear view of its main features. As for many situations where there is a lot of interacting entities, the complex networks paradigm is an appropriate approach to analyze the interactions between the multitudes of Web services. In this paper, we present and investigate the main interactions between semantic Web services models from the complex network perspective. Results show that both parameter and operation networks exhibit the main characteristics of typical real-world complex networks such as the "small-world" property and an inhomogeneou…

[INFO.INFO-WB] Computer Science [cs]/WebInteraction networks[INFO.INFO-WB]Computer Science [cs]/WebComplex networks[ INFO.INFO-WB ] Computer Science [cs]/WebWeb servicesCompositionSemantics
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SIMILARITY NETWORK FOR SEMANTIC WEB SERVICES SUBSTITUTION

2013

Web services substitution is one of the most challenging tasks for automating the composition process of multiple Web services. It aims to improve performances and to deal efficiently with Web services failures. Many existing solutions have approached the problem through classification of substitutable Web services. To go a step further, we propose in this paper a network based approach where nodes are Web services operations and links join similar operations. Four similarity measures based on the comparison of input and output parameters values of Web services operations are presented. A comparative evaluation of the topological structure of the corresponding networks is performed on a ben…

[INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-WB]Computer Science [cs]/WebSemantic Web services[ INFO.INFO-WB ] Computer Science [cs]/WebFunctional similaritySimilarity networkSubstitution
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High third and second order non linearities of chalcogenide glasses and fibers for compact infrared non linear devices.

2008

Due to their intrinsic nature, chalcogenide glasses present attractive nonlinearities from third and second order, with values reaching between 10 and 1000 times those of silica. We present a study of their properties and their shaping with the purpose to reach efficient devices in the near-mid infrared.

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics]Materials scienceOptical fiberOptical glassChalcogenideInfraredPhysics::Optics02 engineering and technologyCondensed Matter::Disordered Systems and Neural Networks01 natural scienceslaw.invention010309 opticschemistry.chemical_compoundOpticslaw0103 physical sciencesComputingMilieux_MISCELLANEOUS[CHIM.MATE] Chemical Sciences/Material chemistry[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]business.industrySecond-harmonic generationOrder (ring theory)[CHIM.MATE]Chemical Sciences/Material chemistry021001 nanoscience & nanotechnologyNonlinear systemchemistry[ CHIM.MATE ] Chemical Sciences/Material chemistryOptoelectronics0210 nano-technologybusinessRefractive index
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Near-field control of optical bistability in a nanocavity

2009

Micro- and nanocavities allow for strong light confinement in very small volume [1]. They give opportunities for new experiments such as cavity quantum electrodynamics, waveguiding, light slowing or trapping…[2] The increase of the electromagnetic (EM) field in the cavity enhances the interaction between light and matter, resulting in the possible observation of nonlinear effects [3]. Several studies have recently been published on the observation and characterisation of nonlinear silicon cavities [4]. As a step further, we propose and demonstrate the feasibility of an innovative way to mechanically control the bistable operating regime of a nanovavity. Using a near-field tip, we switch the…

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics]SiliconField (physics)BistabilityNanophotonicschemistry.chemical_elementPhysics::OpticsNear and far field02 engineering and technology01 natural sciencesOptical switchOptical bistabilitylaw.invention010309 opticsOpticslaw0103 physical sciences010306 general physicsComputer Science::DatabasesComputingMilieux_MISCELLANEOUSPhysics[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]business.industryQuantitative Biology::Molecular NetworksCavity quantum electrodynamicsNonlinear opticsCondensed Matter Physics021001 nanoscience & nanotechnologyElectronic Optical and Magnetic MaterialsNonlinear systemchemistryOptical cavityOptoelectronicsPhotonics0210 nano-technologybusiness
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Nonlinear Sculpturing of Optical Pulses in Fibre Systems

2019

The interplay among the effects of dispersion, nonlinearity and gain/loss in optical fibre systems can be efficiently used to shape the pulses and manipulate and control the light dynamics and, hence, lead to different pulse-shaping regimes [1,2]. However, achieving a precise waveform with various prescribed characteristics is a complex issue that requires careful choice of the initial pulse conditions and system parameters. The general problem of optimisation towards a target operational regime in a complex multi-parameter space can be intelligently addressed by implementing machine-learning strategies. In this paper, we discuss a novel approach to the characterisation and optimisation of …

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics][PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Artificial neural networkComputer simulationComputer scienceData domain02 engineering and technology01 natural sciencesPulse shaping010309 opticsRange (mathematics)Nonlinear system020210 optoelectronics & photonicsControl theory0103 physical sciencesDispersion (optics)0202 electrical engineering electronic engineering information engineeringWaveformComputingMilieux_MISCELLANEOUS
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