Lumping Reductions for Multispread in Multi-Layer Networks

Lade...
Vorschaubild
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2022
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
ArXiv-ID
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published
Erschienen in
BENITO, Rosa Maria, ed., Chantal CHERIFI, ed., Hocine CHERIFI, ed. and others. Complex Networks & Their Applications X : Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications. Cham: Springer, 2022, pp. 289-300. Studies in Computational Intelligence. 1016. ISSN 1860-949X. eISSN 1860-9503. ISBN 978-3-030-93412-5. Available under: doi: 10.1007/978-3-030-93413-2_25
Zusammenfassung

Spreading phenomena arise from simple local interaction among a large number of actors through different networks of interactions. Computational modelling and analysis of such phenomena is challenging due to the combinatorial explosion of possible network configurations. Traditional (single layer) networks are commonly used to encode the heterogeneous relationships among agents but are limited to a single type of interaction. Multiplex Multi-Layer networks (MLNs) have been introduced to allow the modeler to compactly and naturally describe multiple types of interactions and multiple simultaneous spreading phenomena. The downside is an increase in the complexity of the already challenging task of the analysis and simulation of such spreading processes. In this paper we explore the use of lumping techniques that preserve dynamics, previously applied to Continuous Time Markov Chains (CTMC) and single layer networks to multiple spreading processes on MLNs.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Multiplex multi-layer networks, Spreading processes, Model reduction techniques, Lumping, Stochastic processes
Konferenz
Complex Networks & Their Applications X, 30. Nov. 2021 - 2. Dez. 2021, Madrid
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690PETROV, Tatjana, Stefano TOGNAZZI, 2022. Lumping Reductions for Multispread in Multi-Layer Networks. Complex Networks & Their Applications X. Madrid, 30. Nov. 2021 - 2. Dez. 2021. In: BENITO, Rosa Maria, ed., Chantal CHERIFI, ed., Hocine CHERIFI, ed. and others. Complex Networks & Their Applications X : Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications. Cham: Springer, 2022, pp. 289-300. Studies in Computational Intelligence. 1016. ISSN 1860-949X. eISSN 1860-9503. ISBN 978-3-030-93412-5. Available under: doi: 10.1007/978-3-030-93413-2_25
BibTex
@inproceedings{Petrov2022Lumpi-56494,
  year={2022},
  doi={10.1007/978-3-030-93413-2_25},
  title={Lumping Reductions for Multispread in Multi-Layer Networks},
  number={1016},
  isbn={978-3-030-93412-5},
  issn={1860-949X},
  publisher={Springer},
  address={Cham},
  series={Studies in Computational Intelligence},
  booktitle={Complex Networks & Their Applications X : Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications},
  pages={289--300},
  editor={Benito, Rosa Maria and Cherifi, Chantal and Cherifi, Hocine},
  author={Petrov, Tatjana and Tognazzi, Stefano}
}
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/123456789/56494">
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-02-10T09:42:03Z</dcterms:available>
    <dcterms:issued>2022</dcterms:issued>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:contributor>Tognazzi, Stefano</dc:contributor>
    <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/123456789/43615"/>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/56494"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:language>eng</dc:language>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43615"/>
    <dc:creator>Tognazzi, Stefano</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-02-10T09:42:03Z</dc:date>
    <dc:creator>Petrov, Tatjana</dc:creator>
    <dc:contributor>Petrov, Tatjana</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:abstract xml:lang="eng">Spreading phenomena arise from simple local interaction among a large number of actors through different networks of interactions. Computational modelling and analysis of such phenomena is challenging due to the combinatorial explosion of possible network configurations. Traditional (single layer) networks are commonly used to encode the heterogeneous relationships among agents but are limited to a single type of interaction. Multiplex Multi-Layer networks (MLNs) have been introduced to allow the modeler to compactly and naturally describe multiple types of interactions and multiple simultaneous spreading phenomena. The downside is an increase in the complexity of the already challenging task of the analysis and simulation of such spreading processes. In this paper we explore the use of lumping techniques that preserve dynamics, previously applied to Continuous Time Markov Chains (CTMC) and single layer networks to multiple spreading processes on MLNs.</dcterms:abstract>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:title>Lumping Reductions for Multispread in Multi-Layer Networks</dcterms:title>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen