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Visualization methods for longitudinal social networks and stochastic actor-oriented modeling

Visualization methods for longitudinal social networks and stochastic actor-oriented modeling

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BRANDES, Ulrik, Natalie INDLEKOFER, Martin MADER, 2012. Visualization methods for longitudinal social networks and stochastic actor-oriented modeling. In: Social Networks. 34(3), pp. 291-308. ISSN 0378-8733. eISSN 0378-8733

@article{Brandes2012Visua-20924, title={Visualization methods for longitudinal social networks and stochastic actor-oriented modeling}, year={2012}, doi={10.1016/j.socnet.2011.06.002}, number={3}, volume={34}, issn={0378-8733}, journal={Social Networks}, pages={291--308}, author={Brandes, Ulrik and Indlekofer, Natalie and Mader, Martin} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/20924"> <dcterms:title>Visualization methods for longitudinal social networks and stochastic actor-oriented modeling</dcterms:title> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2012-11-23T08:58:05Z</dcterms:available> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <dcterms:issued>2012</dcterms:issued> <dc:rights>deposit-license</dc:rights> <dc:contributor>Mader, Martin</dc:contributor> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/20924"/> <dc:creator>Mader, Martin</dc:creator> <dc:language>eng</dc:language> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2012-11-23T08:58:05Z</dc:date> <dcterms:abstract>As a consequence of the rising interest in longitudinal social networks and their analysis, there is also an increasing demand for tools to visualize them. We argue that similar adaptations of state-of-the-art graph-drawing methods can be used to visualize both, longitudinal networks and predictions of stochastic actor-oriented models (SAOMs), the most prominent approach for analyzing such networks. The proposed methods are illustrated on a longitudinal network of acquaintanceship among university freshmen.</dcterms:abstract> <dc:creator>Brandes, Ulrik</dc:creator> <dc:contributor>Indlekofer, Natalie</dc:contributor> <dc:contributor>Brandes, Ulrik</dc:contributor> <dcterms:bibliographicCitation>Social Networks ; 34 (2012), 3. - S. 291-308</dcterms:bibliographicCitation> <dc:creator>Indlekofer, Natalie</dc:creator> </rdf:Description> </rdf:RDF>

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