Social Network Algorithms and Software
Social Network Algorithms and Software
Vorschaubild nicht verfügbar
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2015
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
eISSN
item.preview.dc.identifier.isbn
Bibliografische Daten
Verlag
Schriftenreihe
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
oops
EU-Projektnummer
Projekt
Open Access-Veröffentlichung
Sammlungen
Titel in einer weiteren Sprache
Publikationstyp
Beitrag zu einem Sammelband
Publikationsstatus
Erschienen in
International encyclopedia of the social and behavioral sciences / James Wright (Hrsg.). - 2. Edition. - Amsterdam : Elsevier, 2015. - S. 454-460. - ISBN 978-0-08-097087-5
Zusammenfassung
Graph-theoretic concepts feature prominently in network analysis because they facilitate the exploration and assessment of structural properties in intuitive terms. However, they also pose algorithmic challenges not normally encountered in population statistics and attribute-based data analysis. We review efficient combinatorial algorithms for core problems of social network analysis and discuss important aspects of software for these tasks.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Algorithms, Centrality, Cliques, Clustering, Complexity, Cores, Density, Equivalence, Graphical representations, Social networks
Konferenz
Rezension
undefined / . - undefined, undefined. - (undefined; undefined)
Zitieren
ISO 690
BRANDES, Ulrik, 2015. Social Network Algorithms and Software. In: JAMES WRIGHT, , ed.. International encyclopedia of the social and behavioral sciences. 2. Edition. Amsterdam:Elsevier, pp. 454-460. ISBN 978-0-08-097087-5. Available under: doi: 10.1016/B978-0-08-097086-8.43121-1BibTex
@incollection{Brandes2015Socia-31432, year={2015}, doi={10.1016/B978-0-08-097086-8.43121-1}, title={Social Network Algorithms and Software}, edition={2. Edition}, isbn={978-0-08-097087-5}, publisher={Elsevier}, address={Amsterdam}, booktitle={International encyclopedia of the social and behavioral sciences}, pages={454--460}, editor={James Wright}, author={Brandes, Ulrik} }
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/123456789/31432"> <dcterms:issued>2015</dcterms:issued> <dcterms:title>Social Network Algorithms and Software</dcterms:title> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/31432"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:abstract xml:lang="eng">Graph-theoretic concepts feature prominently in network analysis because they facilitate the exploration and assessment of structural properties in intuitive terms. However, they also pose algorithmic challenges not normally encountered in population statistics and attribute-based data analysis. We review efficient combinatorial algorithms for core problems of social network analysis and discuss important aspects of software for these tasks.</dcterms:abstract> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-07-15T09:55:04Z</dcterms:available> <dc:creator>Brandes, Ulrik</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-07-15T09:55:04Z</dc:date> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:contributor>Brandes, Ulrik</dc:contributor> <dc:language>eng</dc:language> </rdf:Description> </rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja