Search results for "Network science"

showing 10 items of 103 documents

Recent Advances in Complex Networks Theories with Applications

2014

Genetics and Molecular Biology (all)Dynamic network analysisArticle SubjectComputer sciencelcsh:MedicineNetwork sciencelcsh:TechnologyBiochemistryGeneral Biochemistry Genetics and Molecular BiologyTheoreticalModelsHuman dynamicsHumanslcsh:ScienceGeneral Environmental ScienceCognitive science2300lcsh:TInterdependent networksbusiness.industryMedicine (all)lcsh:RGeneral MedicineModels TheoreticalNeural Networks (Computer)Complex networkNetwork dynamicsEditorialEvolving networksHumans; Models Theoretical; Neural Networks (Computer); Medicine (all); Biochemistry Genetics and Molecular Biology (all); 2300lcsh:QNeural Networks ComputerArtificial intelligenceHierarchical network modelbusinessThe Scientific World Journal
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Alignment Free Dissimilarities for Nucleosome Classification

2016

Epigenetic mechanisms such as nucleosome positioning, histone modifications and DNA methylation play an important role in the regulation of cell type-specific gene activities, yet how epigenetic patterns are established and maintained remains poorly understood. Recent studies have shown a role of DNA sequences in recruitment of epigenetic regulators. For this reason, the use of more suitable similarities or dissimilarity between DNA sequences could help in the context of epigenetic studies. In particular, alignment-free dissimilarities have already been successfully applied to identify distinct sequence features that are associated with epigenetic patterns and to predict epigenomic profiles…

0301 basic medicineNearest neighbour classifiersKnn classifierSettore INF/01 - Informatica030102 biochemistry & molecular biologybiologyComputer scienceSpeech recognitionEpigeneticContext (language use)Computational biologyL-tuples03 medical and health sciences030104 developmental biologyHistoneSimilarity (network science)DNA methylationbiology.proteinNucleosomeEpigeneticsAlignment free DNA sequence dissimilaritiesk-mersNucleosome classificationEpigenomics
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A naive relevance feedback model for content-based image retrieval using multiple similarity measures

2010

This paper presents a novel probabilistic framework to process multiple sample queries in content based image retrieval (CBIR). This framework is independent from the underlying distance or (dis)similarity measures which support the retrieval system, and only assumes mutual independence among their outcomes. The proposed framework gives rise to a relevance feedback mechanism in which positive and negative data are combined in order to optimally retrieve images according to the available information. A particular setting in which users interactively supply feedback and iteratively retrieve images is set both to model the system and to perform some objective performance measures. Several repo…

Computer scienceRelevance feedbackContent-based image retrievalcomputer.software_genreSimilitudeSet (abstract data type)Similarity (network science)Artificial IntelligenceSignal ProcessingComputer Vision and Pattern RecognitionData miningImage retrievalcomputerSoftwareIndependence (probability theory)Pattern Recognition
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Fuzzy Metric Approach to Aggregation of Risk Levels

2019

In this paper we propose a special construction of a general aggregation operator. The construction allows to aggregate fuzzy sets taking into account the distance between elements of the universe. We consider the case when fuzzy sets to be aggregated represent the risk level evaluation by several experts. We describe how the proposed construction could be applied for risk level assessment in the case when a strong fuzzy metric is used to characterize the similarity of objects under evaluation.

Risk levelTheoretical computer scienceOperator (computer programming)Similarity (network science)Computer scienceMetric (mathematics)Fuzzy setAggregate (data warehouse)Fuzzy logic
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Harmonized benchmark labels of the hippocampus on magnetic resonance: The EADC-ADNI project

2015

Abstract Background A globally harmonized protocol (HarP) for manual hippocampal segmentation based on magnetic resonance has been recently developed by a task force from European Alzheimer's Disease Consortium (EADC) and Alzheimer's Disease Neuroimaging Initiative (ADNI). Our aim was to produce benchmark labels based on the HarP for manual segmentation. Methods Five experts of manual hippocampal segmentation underwent specific training on the HarP and segmented 40 right and left hippocampi from 10 ADNI subjects on both 1.5 T and 3 T scans. An independent expert visually checked segmentations for compliance with the HarP. Descriptive measures of agreement between tracers were intraclass cor…

MaleInservice TrainingEpidemiologyIntraclass correlationNeuroimagingHippocampusCellular and Molecular Neuroscienceddc:616.89Imaging Three-DimensionalDevelopmental NeuroscienceNeuroimagingSimilarity (network science)Alzheimer DiseasemedicineImage Processing Computer-AssistedHumansSegmentationCognitive DysfunctionHARPAgedAged 80 and overmedicine.diagnostic_testbusiness.industryHealth PolicyReproducibility of ResultsMagnetic resonance imagingPattern recognitionOrgan SizeMagnetic Resonance ImagingConfidence intervalPsychiatry and Mental healthBenchmark (computing)FemaleNeurology (clinical)Artificial intelligenceGeriatrics and GerontologyAtrophybusinessPsychologyNeuroscience
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Bank-firm credit network in Japan. An analysis of a bipartite network

2015

We present an analysis of the credit market of Japan. The analysis is performed by investigating the bipartite network of banks and firms which is obtained by setting a link between a bank and a firm when a credit relationship is present in a given time window. In our investigation we focus on a community detection algorithm which is identifying communities composed by both banks and firms. We show that the clusters obtained by directly working on the bipartite network carry information about the networked nature of the Japanese credit market. Our analysis is performed for each calendar year during the time period from 1980 to 2011. Specifically, we obtain communities of banks and networks …

Physics - Physics and SocietyTime FactorsFinancial networksFOS: Physical scienceslcsh:MedicineNetwork sciencePhysics and Society (physics.soc-ph)01 natural sciences010305 fluids & plasmasFOS: Economics and businessJapanTime windowsCarry (investment)Residence Characteristics0103 physical sciences010306 general physicsLocationEmpirical evidencelcsh:ScienceIndustrial organizationProbabilityStructure (mathematical logic)MultidisciplinaryEconomic sectorlcsh:RCommerceSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)econophysics networks communities banks firmsBipartite graphBond marketlcsh:QBusinessGeneral Finance (q-fin.GN)Quantitative Finance - General FinanceAlgorithmsResearch Article
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Distance decay 2.0 – a global synthesis of taxonomic and functional turnover in ecological communities

2021

AbstractUnderstanding the variation in community composition and species abundances, i.e., β-diversity, is at the heart of community ecology. A common approach to examine β-diversity is to evaluate directional turnover in community composition by measuring the decay in the similarity among pairs of communities along spatial or environmental distances. We provide the first global synthesis of taxonomic and functional distance decay along spatial and environmental distance by analysing 149 datasets comprising different types of organisms and environments. We modelled an exponential distance decay for each dataset using generalized linear models and extracted r2 and slope to analyse the streng…

0106 biological sciencesGeneralized linear modelDistance decayCommunity010604 marine biology & hydrobiology15. Life on land010603 evolutionary biology01 natural sciencesLatitudeExponential functionSimilarity (network science)Environmental scienceMarine ecosystem14. Life underwaterPhysical geographySpatial extent
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Food community networks as leverage for social embeddedness

2013

Social embeddedness, defined as the interaction of economic activities and social behavior, is used in this study as a conceptual tool to describe the growing phenomenon of food community networks (FCNs). The aim in this paper was to map the system of relations which the FCNs develop both inside and outside the network and, from the number of relations, it was inferred the influence of each FCN upon the formation of new socially embedded economic realities. A particular form of FCN was taken under consideration: solidarity purchase groups (SPGs). Performed with the aid of social network analysis on a sample of SPGs in Sicily (a region in southern Italy), the study allowed us to identify a r…

HistoryLeverage (finance)EmbeddednessSocial embeddedness Food community networks Relational structures Local food Sustainable consumptionAgricultural and Biological Sciences (miscellaneous)SolidarityReciprocity (network science)PhenomenonSettore AGR/01 - Economia Ed Estimo RuraleEnvironmental ChemistrySustainable consumptionSociologyEconomic systemReciprocalGeneral Environmental Science
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Movie Script Similarity Using Multilayer Network Portrait Divergence

2020

International audience; This paper addresses the question of movie similarity through multilayer graph similarity measures. Recent work has shown how to construct multilayer networks using movie scripts, and how they capture different aspects of the stories. Based on this modeling, we propose to rely on the multilayer structure and compute different similarities, so we may compare movies, not from their visual content, summary, or actors, but actually from their own storyboard. We propose to do so using “portrait divergence”, which has been recently introduced to compute graph distances from summarizing graph characteristics. We illustrate our approach on the series of six Star Wars movies.

Theoretical computer scienceComputer science02 engineering and technologyStar (graph theory)[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]computer.software_genre01 natural sciences010305 fluids & plasmas[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Similarity (network science)[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]0103 physical sciences0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]StoryboardDivergence (statistics)Structure (mathematical logic)Network portraitMoviesMultilayer networksNetwork similarity[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]Construct (python library)Scripting languageGraph (abstract data type)020201 artificial intelligence & image processingcomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Least-squares community extraction in feature-rich networks using similarity data

2021

We explore a doubly-greedy approach to the issue of community detection in feature-rich networks. According to this approach, both the network and feature data are straightforwardly recovered from the underlying unknown non-overlapping communities, supplied with a center in the feature space and intensity weight(s) over the network each. Our least-squares additive criterion allows us to search for communities one-by-one and to find each community by adding entities one by one. A focus of this paper is that the feature-space data part is converted into a similarity matrix format. The similarity/link values can be used in either of two modes: (a) as measured in the same scale so that one may …

Computer scienceEconomicsKernel FunctionsSocial Sciences02 engineering and technologyLeast squaresInfographicsTranslocation GeneticGeographical LocationsMedical Conditions0202 electrical engineering electronic engineering information engineeringMedicine and Health SciencesPsychologyCluster AnalysisOperator TheoryData ManagementMultidisciplinaryApplied MathematicsSimulation and ModelingQRExperimental PsychologyEuropeFeature (computer vision)Research DesignPhysical SciencesMedicine020201 artificial intelligence & image processingGraphsAlgorithmsNetwork AnalysisNetwork analysisResearch ArticleComputer and Information SciencesScienceFeature vectorScale (descriptive set theory)Research and Analysis MethodsColumn (database)Similarity (network science)020204 information systemsParasitic DiseasesLeast-Squares AnalysisFeature databusiness.industryData VisualizationBiology and Life SciencesPattern recognitionTropical DiseasesEconomic AnalysisMalariaPeople and PlacesArtificial intelligencebusinessMathematicsPLoS ONE
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