Search results for "Multilayer networks"

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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Multilayer Network Analysis: The Identification of Key Actors in a Sicilian Mafia Operation

2021

Recently, Social Network Analysis studies have led to an improvement and to a generalization of existing tools to networks with multiple subsystems and layers of connectivity. These kind of networks are usually called multilayer networks. Multilayer networks in which each layer shares at least one node with some other layer in the network are called multiplex networks. Being a multiplex network does not require all nodes to exist on every layer. In this paper, we built a criminal multiplex network which concerns an anti-mafia operation called “Montagna” and it is based on the examination of a pre-trial detention order issued on March 14, 2007 by the judge for preliminary investigations of t…

Social and Information Networks (cs.SI)FOS: Computer and information sciencesPhysics - Physics and SocietyFocus (computing)Settore INF/01 - InformaticaMultilayer networksComputer sciencebusiness.industryNode (networking)Criminal networks; Multilayer networks; Social network analysisSocial network analysis (criminology)FOS: Physical sciencesComputer Science - Social and Information NetworksPhysics and Society (physics.soc-ph)Criminal networksSocial network analysisIdentification (information)PhoneKey (cryptography)Layer (object-oriented design)businessNetwork analysisComputer network
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