Publikation:

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

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

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

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