Search results for " CENTRALITY"

showing 10 items of 37 documents

Seeking the Important Nodes of Complex Networks in Product R&D Team Based on Fuzzy AHP and TOPSIS

2013

Published version of article in the journal: Mathematical Problems in Engineering. Alo available from the publisher at: http://dx.doi.org/10.1155/2013/327592 Open Access How to seek the important nodes of complex networks in product research and development (R&D) team is particularly important for companies engaged in creativity and innovation. The previous literature mainly uses several single indicators to assess the node importance; this paper proposes a multiple attribute decision making model to tentatively solve these problems. Firstly, choose eight indicators as the evaluation criteria, four from centralization of complex networks: degree centrality, betweenness centrality, closeness…

EngineeringArticle SubjectHierarchy (mathematics)business.industrylcsh:MathematicsGeneral MathematicsGeneral EngineeringAnalytic hierarchy processTOPSISComplex networklcsh:QA1-939VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Constraint (information theory)Betweenness centralitylcsh:TA1-2040VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Anvendt matematikk: 413Artificial intelligencelcsh:Engineering (General). Civil engineering (General)businessCentralityDecision-making modelsMathematical Problems in Engineering
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From limit to centrality. Regeneration of the Genoa's port area through architectural and urban design

2012

This survey’s core is the case study of the regeneration of the port area and of the urban waterfront of the city of Genoa, as an emblematic example where the architectural and urban design plays an important role, oriented to the transformation of the port area and to the modification of the relationship that exists between the harbour and the city. In particular this will deepen the possibility, to reverse the condition of limit that characterizes the port area into a new centrality, through the design, passing by intermediate steps that redefine the modalities of access and of connection between city and port, breaking the condition of isolation that ports usually present. As a matter of…

Regeneration Reuse Stratification.Limit Centrality AccessibilitySettore ICAR/14 - Composizione Architettonica E Urbana
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Transverse momentum spectra and nuclear modification factors of charged particles in pp, p-Pb and Pb-Pb collisions at the LHC

2018

We report the measured transverse momentum ($p_{\rm T}$) spectra of primary charged particles from pp, p-Pb and Pb-Pb collisions at a center-of-mass energy $\sqrt{s_{\rm NN}} = 5.02$ TeV in the kinematic range of $0.15<p_{\rm T}<50$ GeV/$c$ and $|\eta|< 0.8$. A significant improvement of systematic uncertainties motivated the reanalysis of data in pp and Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV, as well as in p-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV, which is also presented. Spectra from Pb-Pb collisions are presented in nine centrality intervals and are compared to a reference spectrum from pp collisions scaled by the number of binary nucleon-nucleon collisions. For cent…

:Kjerne- og elementærpartikkelfysikk: 431 [VDP]heavy ion: scatteringHadronmomentum [up]binaryMULTIPLICITY DEPENDENCEPartonheavy ion: scattering ; transverse momentum: momentum spectrum ; quantum chromodynamics: matter ; parton: energy loss ; momentum: high ; up: momentum ; pp: scattering ; nucleus ; charged particle ; suppression ; energy dependence ; impact parameter ; transport theory ; nucleon nucleon ; CERN LHC Coll ; kinematics ; binarymomentum spectrum [transverse momentum]hiukkasfysiikkaKAONnucl-ex01 natural sciences7. Clean energy2760 GeV-cms/nucleonHigh Energy Physics - Experimenttransverse momentum: momentum spectrumHeavy Ion Experiments; Heavy-ion collision; Nuclear and high energy physicsHigh Energy Physics - Experiment (hep-ex)quark gluon plasma Heavy Ion Experiments Heavy-ion collisionnucleon nucleonHeavy-ion collisionhigh [momentum]PIONscattering [p p]transport theory[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex][ PHYS.NEXP ] Physics [physics]/Nuclear Experiment [nucl-ex]Nuclear Experiment (nucl-ex)impact parameterNuclear ExperimentNuclear ExperimentQCD matterparticle production and suppressionPhysicsPhysicsHADRONSheavy ion experiments heavy ion collision particle production and suppressionHeavy Ion Experiments; Heavy-ion collisionVDP::Kjerne- og elementærpartikkelfysikk: 431suppressionCENTRALITY DEPENDENCEcharged particleCharged particleMULTIPLICITY DEPENDENCE; CENTRALITY DEPENDENCE; HADRONS; SUPPRESSION; MODEL; KAON; PIONquark gluon plasma:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]:Nuclear and elementary particle physics: 431 [VDP]CERN LHC CollVDP::Nuclear and elementary particle physics: 431kinematicsHeavy Ion ExperimentImpact parameterParticle Physics - ExperimentHeavy Ion Experiments Heavy-ion collision Nuclear and High Energy Physics.Nuclear and High Energy Physicsp p: scatteringnucleon nucleon: scatteringenergy loss [parton]FOS: Physical sciences[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencesenergy dependenceNuclear physicsPionHeavy Ion Experiments[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [heavy ion]0103 physical sciencesmatter [quantum chromodynamics]lcsh:Nuclear and particle physics. Atomic energy. Radioactivityddc:530Nuclear Physics - Experiment5020 GeV-cms/nucleonup: momentum010306 general physicsp nucleus: scatteringquantum chromodynamics: matterta114010308 nuclear & particles physicshep-exnucleus:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]Nuclear and high energy physicsheavy ion collisionMODEL* Automatic Keywords *13. Climate actionmomentum: highQuark–gluon plasmalcsh:QC770-798High Energy Physics::Experimentparton: energy lossEnergy (signal processing)experimental results
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Evaluating the structure and use of hiking trails in recreational areas using a mixed GPS tracking and graph theory approach

2014

Abstract Recreational trails encourage numerous outdoor leisure activities in a variety of urban, rural, and natural environments. Understanding the way trails function is crucial for the designers and managers of recreational sites to balance the needs of visitors and site capacities. This paper presents a new approach to evaluate the structure and use of hiking trails by combining GPS tracking and analytical methods based on graph theory. The study is based upon empirical data (N = 482 GPS tracks) collected in the Lobau, which is part of the Danube Floodplains National Park in Austria. The physical structure of trails (structural network; undirected graph) and their usage (functional netw…

Degree (graph theory)Node (networking)Geography Planning and DevelopmentForestryGraph theoryDirected graphTransport engineeringGeographyBetweenness centralityTourism Leisure and Hospitality ManagementPath (graph theory)CentralityCartographyRecreationGeneral Environmental Science
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Formaciones sociales y opresión en Marx

2018

The text explains the difference between Marx?s concept of «oppression» and others as «coercion» by Durkheim or «domination» by Weber. The article then establishes, in a methodical way, the centrality of a passage from Capital, in which three different theories on «oppression» appear. It?s explained that two of them are rather a philosophical antinomy. The other, relative to the heteronomy of social time, can be completed by defining the heteronomy of social space, which gives it analytical virtuality. Some examples are given.

in a methodical wayvalorrelative to the heteronomy of social timetiempo de trabajoworking timethe centrality of a passage from Capitalcan be completed by defining the heteronomy of social space:SOCIOLOGÍA [UNESCO]in which three different theories on «oppression» appear. It?s explained that two of them are rather a philosophical antinomy. The othervalueespacio socialopresiónMarxUNESCO::SOCIOLOGÍA1137-7038 8537 Arxius de sociologia 493757 2018 38 6508342 Formaciones sociales y opresión en Marx Hernàndez i DobonFrancesc Jesús The text explains the difference between Marx?s concept of «oppression» and others as «coercion» by Durkheim or «domination» by Weber. The article then establishessocial space. 27 35oppressionwhich gives it analytical virtuality. Some examples are given. Marx
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The consistency of individual centrality across time and networks in wild vervet monkeys

2021

Previous primate social network studies largely limited their focus to grooming and/or aggression networks, particularly among adult females. In addition, the consistency of individuals' network centrality across time and/or different networks has received little attention, despite this being critical for a global understanding of dynamic social structure. Here, we analyzed the grooming, aggression, and play social networks of a group of 26-28 wild vervet monkeys (Chlorocebus pygerythrus), including adults and juveniles, over two periods of 6 months. We collected data on grooming, play, and aggression using focal animal sampling with instantaneous recording and ad libitum sampling. We exami…

0106 biological sciencesMaleEigenvector centrality010603 evolutionary biology01 natural sciencesSouth AfricaConsistency (negotiation)biology.animalChlorocebus aethiopsmedicineJuvenileAnimals0501 psychology and cognitive sciencesPrimate050102 behavioral science & comparative psychologySocial BehaviorEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSSocial networkbiologyBehavior Animalbusiness.industryAggressionSciences du Vivant [q-bio]/Ecologie Environnement05 social sciencesGrooming[SDE.ES]Environmental Sciences/Environmental and SocietyPlay and PlaythingsAggressionDominance (ethology)Animal Science and ZoologyFemalemedicine.symptombusinessCentralityPsychologyDemography
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Correlations among Game of Thieves and other centrality measures in complex networks

2021

Social Network Analysis (SNA) is used to study the exchange of resources among individuals, groups, or organizations. The role of individuals or connections in a network is described by a set of centrality metrics which represent one of the most important results of SNA. Degree, closeness, betweenness and clustering coefficient are the most used centrality measures. Their use is, however, severely hampered by their computation cost. This issue can be overcome by an algorithm called Game of Thieves (GoT). Thanks to this new algorithm, we can compute the importance of all elements in a network (i.e. vertices and edges), compared to the total number of vertices. This calculation is done not in…

Social and Information Networks (cs.SI)FOS: Computer and information sciencesTheoretical computer scienceCentrality measureDegree (graph theory)Settore INF/01 - InformaticaComputer scienceClosenessSocial network analysiComputer Science - Social and Information NetworksComplex networkComplex networkBetweenness centralityCorrelation coefficientsCentralityTime complexitySocial network analysisClustering coefficient
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Network Centralities and Node Ranking

2017

An important problem in network analysis is understanding how much nodes are important in order to “propagate” the information across the input network. To this aim, many centrality measures have been proposed in the literature and our main goal here is that of providing an overview of the most important of them. In particular, we distinguish centrality measures based on walks computation from those based on shortest-paths computation. We also provide some examples in order to clarify how these measures can be calculated, with special attention to Degree Centrality, Closeness Centrality and Betweennes Centrality.

Theoretical computer scienceCentrality measureNetwork topologyShortest pathSettore INF/01 - InformaticaComputer scienceBiological networkComputationNode (networking)Network topologySubgraph extractionNode centralityRankingShortest path problemCentralityBiological networkNetwork analysisNode neighborhoodNode ranking
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Epidemic diffusion of social updates in Dunbar-based DOSN

2014

Distributed Online Social Networks (DOSNs) do not rely on a central repository for storing social data so that the users can keep control of their private data and do not depend on the social network provider. The ego network, i.e. the network made up of an individual, the ego, along with all the social ties she has with other people, the alters, may be exploited to define distributed social overlays and dissemination protocols. In this paper we propose a new epidemic protocol able to spread social updates in Dunbar-based DOSN overlays where the links between nodes are defined by considering the social interactions between users. Our approach is based on the notion of Weighted Ego Betweenne…

P2PSocial networkSettore INF/01 - Informaticabusiness.industryComputer scienceInformation DiffusionInterpersonal tiesBetweenness centralityGraph (abstract data type)DOSN P2P Information Diffusion DunbarDunbarInformation diffusionbusinessDOSNComputer network
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Flow dominance and factorization of transverse momentum correlations in Pb-Pb collisions at the LHC

2017

Physical review letters 118(16), 162302 (2017). doi:10.1103/PhysRevLett.118.162302

heavy ion: scattering:Kjerne- og elementærpartikkelfysikk: 431 [VDP]transverse momentum [correlation function]correlation [momentum]550Pb-PbPb-Pb collisionsGeneral Physics and Astronomyhiukkasfysiikkanucl-exPP01 natural sciencesHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)ALICEDEPENDENCEddc:550Nuclear Experiment (nucl-ex)ROOT-S(NN)=2.76 TEVNuclear ExperimentPERSPECTIVENuclear ExperimentPhysics and Astronomy (all); ALICE; LHCPhysicscorrelation function: transverse momentumPhysicsflow ; transverse ; momentum ; Pb-Pbtransverse momentum: correlationtwo-particleHanbury-Brown-Twiss effect:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]PRIRODNE ZNANOSTI. Fizika.transverseTransverse planeCorrelation function (statistical mechanics)CERN LHC Coll:Nuclear and elementary particle physics: 431 [VDP]flowPseudorapidityLHCParticle Physics - ExperimentdeconfinementParticle physicscollectiveVDP::Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431FOS: Physical sciencesmomentumtriangulationPhysics and Astronomy(all)[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencesBethe ansatzMomentumNuclear physicsCENTRALITYPhysics and Astronomy (all)statistical analysisFactorizationscattering [heavy ion]Relativistic heavy-ion collisions0103 physical sciencesALICE / ALICE2760 GeV-cmsNuclear Physics - ExperimentRapiditystructurenumerical calculations010306 general physicsNuclear Physicstwo-particle transverse momentum differential correlation functionAnsatzleadDEPENDENCE PERSPECTIVE CENTRALITY PP.ta114VDP::Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431hep-ex010308 nuclear & particles physics:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]momentum: correlationBethe ansatzROOT-S(NN)=2.76 TEV; DEPENDENCE; PERSPECTIVE; PPNATURAL SCIENCES. Physics.rapiditypile-uptransverse momentum: factorizationfactorization [transverse momentum]correlation [transverse momentum]experimental results
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