Search results for "Network similarity"

showing 3 items of 3 documents

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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Assessing movie similarity using a multilayer network model

2021

International audience; This work investigates the movie similarity issue. A multilayer network model capturing various aspects of the story is built from movie scripts. Based on this representation, movies are compared not from summary or actors but using their storyboard. We rely on the "Portrait divergence" to quantify distances between graph characteristics. We illustrate the effectiveness of this approach in comparing movie series.

Network portrait[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]MoviesMultilayer networksNetwork similarity[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO]Computer Science [cs][INFO] Computer Science [cs]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)ComputingMilieux_MISCELLANEOUS
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Are calanco landforms similar to river basins?

2017

In the past badlands have been often considered as ideal field laboratories for studying landscape evolution because of their geometrical similarity to larger fluvial systems. For a given hydrological process, no scientific proof exists that badlands can be considered a model of river basin prototypes. In this paper the measurements carried out on 45 Sicilian calanchi, a type of badlands that appears as a small-scale hydrographic unit, are used to establish their morphological similarity with river systems whose data are available in the literature. At first the geomorphological similarity is studied by identifying the dimensionless groups, which can assume the same value or a scaled one in…

Environmental Engineering010504 meteorology & atmospheric sciencesSettore GEO/04 - Geografia Fisica E Geomorfologia0208 environmental biotechnologyDrainage basin02 engineering and technology01 natural sciencesCalanchi badlandSimilarity (network science)Environmental ChemistrySettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliWaste Management and DisposalGeomorphology0105 earth and related environmental sciencesBasin shape similarityHydrologygeographygeography.geographical_feature_categoryDrainage network similarityLandformScale factorPollutionField (geography)020801 environmental engineeringMorphological similarityMorphometric propertieRelief ratioRelief similarityHydrographyGeologyDimensionless quantity
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