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A taxonomy and survey of dynamic graph visualization / Fabian Beck in Computer graphics forum, vol 36 n° 1 (January 2017)  

Public [article]  inComputer graphics forum > vol 36 n° 1 (January 2017) . - pp 133 - 159 Titre : A taxonomy and survey of dynamic graph visualization Type de document : Article/Communication Auteurs : Fabian Beck, Auteur ; Michael Burch, Auteur ; Stephan Diehl, Auteur ; Daniel Weiskopf, Auteur Année de publication : 2017 Article en page(s) : pp 133 - 159 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données spatiotemporelles [Termes IGN] graphe [Termes IGN] taxinomie [Termes IGN] visualisation de données [Termes IGN] visualisation dynamique [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Dynamic graph visualization focuses on the challenge of representing the evolution of relationships between entities in readable, scalable and effective diagrams. This work surveys the growing number of approaches in this discipline. We derive a hierarchical taxonomy of techniques by systematically categorizing and tagging publications. While static graph visualizations are often divided into node-link and matrix representations, we identify the representation of time as the major distinguishing feature for dynamic graph visualizations: either graphs are represented as animated diagrams or as static charts based on a timeline. Evaluations of animated approaches focus on dynamic stability for preserving the viewer's mental map or, in general, compare animated diagrams to timeline-based ones. A bibliographic analysis provides insights into the organization and development of the field and its community. Finally, we identify and discuss challenges for future research. We also provide feedback from experts, collected with a questionnaire, which gives a broad perspective of these challenges and the current state of the field. Numéro de notice : A2017-391 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1111/cgf.12791 En ligne : https://doi.org/10.1111/cgf.12791 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85891 [article]