Visual analytics for inspecting the evolution of a graph over time : pattern discovery in a communication network
Dateien
Datum
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
In this paper, we present two approaches developed to visually analyze and find patterns in a communication network. The work was done for the VAST 2015 Mini-Challenge 2 (MC2), featuring a dataset with records of timestamps as well as identification of sender and receiver of text messages. Further information included the location from which a message was sent in the fictional amusement park. In the first approach, we present the data preprocessing pipeline we used for a custom visualization. In the second approach, we present how we used available data preprocessing and visualization software to get a quick and clear overview of the problem, and how we used the generated findings to feed our custom visualizations.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
SCHNEIDER, Bruno, Carmela ACEVEDO, Juri F. BUCHMÜLLER, Fabian FISCHER, Daniel A. KEIM, 2015. Visual analytics for inspecting the evolution of a graph over time : pattern discovery in a communication network. IEEE Conference on Visual Analytics Science and Technology (VAST). Chicago, IL, USA, 25. Okt. 2015 - 30. Okt. 2015. In: CHEN, Min, ed. and others. 2015 IEEE Conference on Visual Analytics Science and Technology : Proceedings : Chicago, Illinois, USA, 25-30 October 2015. Piscataway, NJ: IEEE, 2015, pp. 169-170. ISBN 978-1-4673-9783-4. Available under: doi: 10.1109/VAST.2015.7347664BibTex
@inproceedings{Schneider2015-10Visua-33498, year={2015}, doi={10.1109/VAST.2015.7347664}, title={Visual analytics for inspecting the evolution of a graph over time : pattern discovery in a communication network}, isbn={978-1-4673-9783-4}, publisher={IEEE}, address={Piscataway, NJ}, booktitle={2015 IEEE Conference on Visual Analytics Science and Technology : Proceedings : Chicago, Illinois, USA, 25-30 October 2015}, pages={169--170}, editor={Chen, Min}, author={Schneider, Bruno and Acevedo, Carmela and Buchmüller, Juri F. and Fischer, Fabian and Keim, Daniel A.} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/33498"> <dcterms:title>Visual analytics for inspecting the evolution of a graph over time : pattern discovery in a communication network</dcterms:title> <dc:contributor>Schneider, Bruno</dc:contributor> <dc:creator>Fischer, Fabian</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-03-30T12:22:12Z</dcterms:available> <dc:creator>Buchmüller, Juri F.</dc:creator> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/33498"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/33498/1/Schneider_2-58bdxwszx0wv4.pdf"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-03-30T12:22:12Z</dc:date> <dc:rights>terms-of-use</dc:rights> <dc:creator>Schneider, Bruno</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dcterms:abstract xml:lang="eng">In this paper, we present two approaches developed to visually analyze and find patterns in a communication network. The work was done for the VAST 2015 Mini-Challenge 2 (MC2), featuring a dataset with records of timestamps as well as identification of sender and receiver of text messages. Further information included the location from which a message was sent in the fictional amusement park. In the first approach, we present the data preprocessing pipeline we used for a custom visualization. In the second approach, we present how we used available data preprocessing and visualization software to get a quick and clear overview of the problem, and how we used the generated findings to feed our custom visualizations.</dcterms:abstract> <dcterms:issued>2015-10</dcterms:issued> <dc:creator>Keim, Daniel A.</dc:creator> <dc:language>eng</dc:language> <dc:creator>Acevedo, Carmela</dc:creator> <dc:contributor>Fischer, Fabian</dc:contributor> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:contributor>Buchmüller, Juri F.</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/33498/1/Schneider_2-58bdxwszx0wv4.pdf"/> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dc:contributor>Acevedo, Carmela</dc:contributor> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> </rdf:Description> </rdf:RDF>