Publikation: Asymmetric relations in longitudinal social networks
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
In modeling and analysis of longitudinal social networks, visual exploration is used in particular to complement and inform other methods. The most common graphical representations for this purpose appear to be animations and small multiples of intermediate states, depending on the type of media available. We present an alternative approach based on matrix representation of gestaltlines (a combination of Tufte’s sparklines with glyphs based on gestalt theory). As a result, we obtain static, compact, yet data-rich diagrams that support specifically the exploration of evolving dyadic relations and persistent group structure, although at the expense of cross-sectional network views and indirect linkages.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
BRANDES, Ulrik, Bobo NICK, 2011. Asymmetric relations in longitudinal social networks. In: IEEE Transactions on Visualization and Computer Graphics. 2011, 17(12), pp. 2283-2290. ISSN 1077-2626. eISSN 1941-0506. Available under: doi: 10.1109/TVCG.2011.169BibTex
@article{Brandes2011-12Asymm-18001, year={2011}, doi={10.1109/TVCG.2011.169}, title={Asymmetric relations in longitudinal social networks}, number={12}, volume={17}, issn={1077-2626}, journal={IEEE Transactions on Visualization and Computer Graphics}, pages={2283--2290}, author={Brandes, Ulrik and Nick, Bobo} }
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/123456789/18001"> <dcterms:bibliographicCitation>Publ. in: IEEE Transactions on Visualization and Computer Graphics ; 17 (2011), 12. - S. 2283-2290</dcterms:bibliographicCitation> <dc:language>eng</dc:language> <dcterms:title>Asymmetric relations in longitudinal social networks</dcterms:title> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:contributor>Nick, Bobo</dc:contributor> <dc:contributor>Brandes, Ulrik</dc:contributor> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/18001"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:creator>Brandes, Ulrik</dc:creator> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2012-02-07T07:59:49Z</dcterms:available> <dc:creator>Nick, Bobo</dc:creator> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:issued>2011-12</dcterms:issued> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2012-02-07T07:59:49Z</dc:date> <dc:rights>terms-of-use</dc:rights> <dcterms:abstract xml:lang="eng">In modeling and analysis of longitudinal social networks, visual exploration is used in particular to complement and inform other methods. The most common graphical representations for this purpose appear to be animations and small multiples of intermediate states, depending on the type of media available. We present an alternative approach based on matrix representation of gestaltlines (a combination of Tufte’s sparklines with glyphs based on gestalt theory). As a result, we obtain static, compact, yet data-rich diagrams that support specifically the exploration of evolving dyadic relations and persistent group structure, although at the expense of cross-sectional network views and indirect linkages.</dcterms:abstract> </rdf:Description> </rdf:RDF>