Search results for "graphs"

showing 10 items of 126 documents

Whom to befriend to influence people

2020

Alice wants to join a new social network, and influence its members to adopt a new product or idea. Each person $v$ in the network has a certain threshold $t(v)$ for {\em activation}, i.e adoption of the product or idea. If $v$ has at least $t(v)$ activated neighbors, then $v$ will also become activated. If Alice wants to activate the entire social network, whom should she befriend? More generally, we study the problem of finding the minimum number of links that a set of external influencers should form to people in the network, in order to activate the entire social network. This {\em Minimum Links} Problem has applications in viral marketing and the study of epidemics. Its solution can be…

FOS: Computer and information sciencesPhysics - Physics and SocietyGeneral Computer ScienceFOS: Physical sciencesPhysics and Society (physics.soc-ph)0102 computer and information sciences02 engineering and technology01 natural sciencesSocial networksGraphTheoretical Computer ScienceCombinatoricsComputer Science - Data Structures and AlgorithmsGreedy algorithmFOS: Mathematics0202 electrical engineering electronic engineering information engineeringMathematics - CombinatoricsData Structures and Algorithms (cs.DS)Greedy algorithmTime complexityNP-completeMathematicsSocial and Information Networks (cs.SI)Social networkDiscrete mathematicsBinary treeDegree (graph theory)Computer Science (all)Order (ring theory)Computer Science - Social and Information NetworksJoin (topology)Influence maximizationGreedy algorithms010201 computation theory & mathematicsGraphs; Greedy algorithms; Influence maximization; NP-complete; Social networksProduct (mathematics)020201 artificial intelligence & image processingCombinatorics (math.CO)Constant (mathematics)GraphsTheoretical Computer Science
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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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Completely independent spanning trees in some regular graphs

2014

International audience; Let k >= 2 be an integer and T-1,..., T-k be spanning trees of a graph G. If for any pair of vertices {u, v} of V(G), the paths between u and v in every T-i, 1 <= i <= k, do not contain common edges and common vertices, except the vertices u and v, then T1,... Tk are completely independent spanning trees in G. For 2k-regular graphs which are 2k-connected, such as the Cartesian product of a complete graph of order 2k-1 and a cycle, and some Cartesian products of three cycles (for k = 3), the maximum number of completely independent spanning trees contained in these graphs is determined and it turns out that this maximum is not always k. (C) 2016 Elsevier B.V. All righ…

FOS: Computer and information sciences[ MATH ] Mathematics [math]Discrete Mathematics (cs.DM)Small Depths0102 computer and information sciences02 engineering and technology[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]01 natural sciencesCombinatoricssymbols.namesakeCompletely independent spanning treeFOS: Mathematics0202 electrical engineering electronic engineering information engineeringCartesian productDiscrete Mathematics and CombinatoricsMathematics - Combinatorics[MATH]Mathematics [math]MathematicsConstructionSpanning treeSpanning treeApplied MathematicsComplete graph020206 networking & telecommunications[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM]Cartesian productIndependent spanning treesGraphPlanar graphPlanar Graphs010201 computation theory & mathematicssymbolsCompletely independent spanning tree.Combinatorics (math.CO)Computer Science - Discrete Mathematics
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The Max-Product Algorithm Viewed as Linear Data-Fusion: A Distributed Detection Scenario

2019

In this paper, we disclose the statistical behavior of the max-product algorithm configured to solve a maximum a posteriori (MAP) estimation problem in a network of distributed agents. Specifically, we first build a distributed hypothesis test conducted by a max-product iteration over a binary-valued pairwise Markov random field and show that the decision variables obtained are linear combinations of the local log-likelihood ratios observed in the network. Then, we use these linear combinations to formulate the system performance in terms of the false-alarm and detection probabilities. Our findings indicate that, in the hypothesis test concerned, the optimal performance of the max-product a…

FOS: Computer and information sciencesfactor graphsComputer scienceComputer Science - Information TheoryMarkovin ketjut02 engineering and technologyMarkov random fieldsalgoritmit0202 electrical engineering electronic engineering information engineeringMaximum a posteriori estimationmax-product algorithmElectrical and Electronic EngineeringLinear combinationStatistical hypothesis testingdistributed systemsMarkov random fieldspectrum sensingApplied MathematicsNode (networking)Information Theory (cs.IT)linear data-fusionApproximation algorithm020206 networking & telecommunicationsComputer Science Applicationssum-product algorithmPairwise comparisonRandom variableAlgorithmstatistical inference
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Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites.

2020

The aim of the paper is two-fold. First, we show that structure finding with the PC algorithm can be inherently unstable and requires further operational constraints in order to consistently obtain models that are faithful to the data. We propose a methodology to stabilise the structure finding process, minimising both false positive and false negative error rates. This is demonstrated with synthetic data. Second, to apply the proposed structure finding methodology to a data set comprising single-voxel Magnetic Resonance Spectra of normal brain and three classes of brain tumours, to elucidate the associations between brain tumour types and a range of observed metabolites that are known to b…

False discovery rateB VitaminsMagnetic Resonance SpectroscopyComputer scienceDirected Acyclic GraphsBiochemistry030218 nuclear medicine & medical imaging0302 clinical medicineMetabolitesMedicine and Health SciencesAmino AcidsQANeurological Tumors0303 health sciencesMultidisciplinaryDirected GraphsOrganic CompoundsBrain NeoplasmsQRTotal Cell CountingBrainMutual informationVitaminsLipidsChemistryConditional independenceOncologyNeurologyPhysical SciencesEngineering and TechnologyMedicineMeningiomaAlgorithmManagement EngineeringAlgorithmsResearch ArticleComputer and Information SciencesScienceCell Enumeration TechniquesGlycineFeature selectionCholinesResearch and Analysis MethodsSynthetic data03 medical and health sciencesInsuranceRobustness (computer science)HumansMetabolomics030304 developmental biologyRisk ManagementOrganic ChemistryChemical CompoundsBayesian networkBiology and Life SciencesCancers and NeoplasmsProteinsBayes TheoremDirected acyclic graphR1MetabolismAliphatic Amino AcidsGraph TheoryMathematicsPLoS ONE
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Finite propagation speed for solutions of the wave equation on metric graphs

2012

We provide a class of self-adjoint Laplace operators on metric graphs with the property that the solutions of the associated wave equation satisfy the finite propagation speed property. The proof uses energy methods, which are adaptions of corresponding methods for smooth manifolds.

Finite propagation speedClass (set theory)Property (philosophy)Laplace transformMathematical analysisFOS: Physical sciencesMathematical Physics (math-ph)Wave equation34B45 35L05 35L20530Laplace operatorsMetric (mathematics)Energy methodWave equationMetric graphsMathematical PhysicsAnalysisMathematics
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Electrodeposition of CeO2 and Co-Doped CeO2 Nanotubes by Cyclic Anodization in Porous Alumina Membranes

2013

An anodic electrodeposition process is proposed to prepare CeO2 and Co-doped CeO2 nanotubes. Anodic alumina membrane is used as template and linear sweep voltammetry is employed to allow the formation of nanotubes without alumina dissolution. SEM micrographs showed large arrays of well defined and aligned NTs, which resulted to be crystalline soon after deposition according to XRD diffraction patterns and Raman Spectroscopy.

Fuel TechnologyMaterials scienceSettore ING-IND/23 - Chimica Fisica ApplicataChemical engineeringAnodizingAlumina membranesMaterials ChemistryElectrochemistrynanotubes Electrodeposition anodic alumina membranePorosityCo dopedAlumina dissolution Anodic alumina membranes Anodic electrodeposition Anodizations Large arrays Linear sweep voltammetry Porous alumina membranes SEM micrographs
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Exploring social media network landscape of post-Soviet space

2019

The &#x201C;post-Soviet space&#x201D; consists of countries with a substantial fraction of the world&#x2019;s population; however, unlike many other regions, its social media network landscape is still somewhat under-explored. This paper aims at filling this gap. To this purpose, we use anonymized data on user friendships at VK.com (also known as VKontakte and, informally, as &#x201C;Russian Facebook&#x201D;), which is the largest and most popular social media portal in the post-Soviet space with hundreds of millions of user accounts. Using the VK network snapshots from October 2015 to December 2016, we conduct a &#x201C;multiscale&#x201D; empirical study of this network by considering conn…

General Computer SciencePopulationsosiaalinen mediaContext (language use)010501 environmental sciencesSpace (commercial competition)01 natural sciencesEmpirical researchbig data0502 economics and businessSocial network servicesGeneral Materials ScienceSocial mediaEconomic geographyeducationsovellukset (tietotekniikka)0105 earth and related environmental sciencesta113verkostoteducation.field_of_studyModularity (networks)big data applicationsData collection05 social sciencesGeneral Engineeringnetwork theory (graphs)Scale (social sciences)lcsh:Electrical engineering. Electronics. Nuclear engineeringsocial network serviceslcsh:TK1-9971050203 business & management
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Circular law for sparse random regular digraphs

2020

Fix a constant $C\geq 1$ and let $d=d(n)$ satisfy $d\leq \ln^{C} n$ for every large integer $n$. Denote by $A_n$ the adjacency matrix of a uniform random directed $d$-regular graph on $n$ vertices. We show that, as long as $d\to\infty$ with $n$, the empirical spectral distribution of appropriately rescaled matrix $A_n$ converges weakly in probability to the circular law. This result, together with an earlier work of Cook, completely settles the problem of weak convergence of the empirical distribution in directed $d$-regular setting with the degree tending to infinity. As a crucial element of our proof, we develop a technique of bounding intermediate singular values of $A_n$ based on studyi…

General Mathematicsregular graphsrandom matrices01 natural sciencesCombinatoricsMatrix (mathematics)FOS: Mathematics60B20 15B52 46B06 05C80Adjacency matrix0101 mathematicsrandom graphsMathematicsRandom graphlogarithmic potentialWeak convergenceDegree (graph theory)sparse matricesApplied MathematicsProbability (math.PR)010102 general mathematicsCircular lawSingular valueCircular lawintermediate singular valuesRandom matrixMathematics - ProbabilityJournal of the European Mathematical Society
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Nonlocal discrete ∞-Poisson and Hamilton Jacobi equations

2015

In this paper we propose an adaptation of the ∞-Poisson equation on weighted graphs, and propose a finer expression of the ∞-Laplace operator with gradient terms on weighted graphs, by making the link with the biased version of the tug-of-war game. By using this formulation, we propose a hybrid ∞-Poisson Hamilton-Jacobi equation, and we show the link between this version of the ∞-Poisson equation and the adaptation of the eikonal equation on weighted graphs. Our motivation is to use this extension to compute distances on any discrete data that can be represented as a weighted graph. Through experiments and illustrations, we show that this formulation can be used in the resolution of many ap…

Generalized distance[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingTug-of-war gameWeighted graphsPartial difference equations∞-Poisson equation[INFO] Computer Science [cs]Hamilton-Jacobi equation
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