Co-authors and Co-principal Investigators : Relational Hyperevent Models for the Co-evolution of Scientific Publications and Grant Funding

dc.contributor.authorFabbrucci Barbagli, Amin Gino
dc.contributor.authorLerner, Jürgen
dc.contributor.authorBoudourides, Moses
dc.date.accessioned2025-06-27T10:17:10Z
dc.date.available2025-06-27T10:17:10Z
dc.date.issued2025
dc.description.abstractThis study investigates how being co-principal investigators of grants influences co-authorship, and vice versa, within three Italian Academic Communities (IAC): sociologists (14/c and 14/d), statisticians (SECS S-01/05), and Management (P08) from 2014 to 2023. By collecting data from the Italian Ministry of Education and https://dimensions.ai, the study employs the Relational Hyperevent Model (RHEM) to analyze their collaboration networks over time. The study demonstrates the complex factors affecting scientific collaboration and expands the application of RHEM to new contexts. Furthermore, the study introduces a new hyperedge covariate, the geometrically-weighted subset repetition (GWSR), as a smoothed version of the formerly defined subset repetition.
dc.description.versionpublisheddeu
dc.identifier.doi10.1007/978-3-031-96736-8_48
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/73731
dc.language.isoeng
dc.subjectHypergraph
dc.subjectRelational Hyperevent Model
dc.subjectCo-authorship networks
dc.subjectGrants
dc.subject.ddc004
dc.titleCo-authors and Co-principal Investigators : Relational Hyperevent Models for the Co-evolution of Scientific Publications and Grant Fundingeng
dc.typeINPROCEEDINGS
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{FabbrucciBarbagli2025Coaut-73731,
  title={Co-authors and Co-principal Investigators : Relational Hyperevent Models for the Co-evolution of Scientific Publications and Grant Funding},
  year={2025},
  doi={10.1007/978-3-031-96736-8_48},
  isbn={978-3-031-96735-1},
  issn={3059-2135},
  address={Cham},
  publisher={Springer},
  booktitle={Statistics for Innovation I : SIS 2025, Short Papers, Plenary, Specialized, and Solicited Sessions},
  pages={289--295},
  editor={Bella, Enrico di and Gioia, Vincenzo and Lagazio, Corrado},
  author={Fabbrucci Barbagli, Amin Gino and Lerner, Jürgen and Boudourides, Moses}
}
kops.citation.iso690FABBRUCCI BARBAGLI, Amin Gino, Jürgen LERNER, Moses BOUDOURIDES, 2025. Co-authors and Co-principal Investigators : Relational Hyperevent Models for the Co-evolution of Scientific Publications and Grant Funding. Scientific Meeting of the Italian Statistical Society (SIS 2025). Genoa, Italy, 16. Juni 2025 - 18. Juni 2025. In: BELLA, Enrico di, Hrsg., Vincenzo GIOIA, Hrsg., Corrado LAGAZIO, Hrsg. und andere. Statistics for Innovation I : SIS 2025, Short Papers, Plenary, Specialized, and Solicited Sessions. Cham: Springer, 2025, S. 289-295. ISSN 3059-2135. eISSN 3059-2143. ISBN 978-3-031-96735-1. Verfügbar unter: doi: 10.1007/978-3-031-96736-8_48deu
kops.citation.iso690FABBRUCCI BARBAGLI, Amin Gino, Jürgen LERNER, Moses BOUDOURIDES, 2025. Co-authors and Co-principal Investigators : Relational Hyperevent Models for the Co-evolution of Scientific Publications and Grant Funding. Scientific Meeting of the Italian Statistical Society (SIS 2025). Genoa, Italy, Jun 16, 2025 - Jun 18, 2025. In: BELLA, Enrico di, ed., Vincenzo GIOIA, ed., Corrado LAGAZIO, ed. and others. Statistics for Innovation I : SIS 2025, Short Papers, Plenary, Specialized, and Solicited Sessions. Cham: Springer, 2025, pp. 289-295. ISSN 3059-2135. eISSN 3059-2143. ISBN 978-3-031-96735-1. Available under: doi: 10.1007/978-3-031-96736-8_48eng
kops.citation.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/123456789/73731">
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Lerner, Jürgen</dc:creator>
    <dcterms:issued>2025</dcterms:issued>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-06-27T10:17:10Z</dc:date>
    <dc:creator>Fabbrucci Barbagli, Amin Gino</dc:creator>
    <dc:contributor>Lerner, Jürgen</dc:contributor>
    <dc:language>eng</dc:language>
    <dcterms:title>Co-authors and Co-principal Investigators : Relational Hyperevent Models for the Co-evolution of Scientific Publications and Grant Funding</dcterms:title>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Boudourides, Moses</dc:creator>
    <dcterms:abstract>This study investigates how being co-principal investigators of grants influences co-authorship, and vice versa, within three Italian Academic Communities (IAC): sociologists (14/c and 14/d), statisticians (SECS S-01/05), and Management (P08) from 2014 to 2023. By collecting data from the Italian Ministry of Education and https://dimensions.ai, the study employs the Relational Hyperevent Model (RHEM) to analyze their collaboration networks over time. The study demonstrates the complex factors affecting scientific collaboration and expands the application of RHEM to new contexts. Furthermore, the study introduces a new hyperedge covariate, the geometrically-weighted subset repetition (GWSR), as a smoothed version of the formerly defined subset repetition.</dcterms:abstract>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/73731"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-06-27T10:17:10Z</dcterms:available>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Fabbrucci Barbagli, Amin Gino</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Boudourides, Moses</dc:contributor>
  </rdf:Description>
</rdf:RDF>
kops.conferencefieldScientific Meeting of the Italian Statistical Society (SIS 2025), 16. Juni 2025 - 18. Juni 2025, Genoa, Italydeu
kops.date.conferenceEnd2025-06-18
kops.date.conferenceStart2025-06-16
kops.flag.knbibliographytrue
kops.location.conferenceGenoa, Italy
kops.sourcefieldBELLA, Enrico di, Hrsg., Vincenzo GIOIA, Hrsg., Corrado LAGAZIO, Hrsg. und andere. <i>Statistics for Innovation I : SIS 2025, Short Papers, Plenary, Specialized, and Solicited Sessions</i>. Cham: Springer, 2025, S. 289-295. ISSN 3059-2135. eISSN 3059-2143. ISBN 978-3-031-96735-1. Verfügbar unter: doi: 10.1007/978-3-031-96736-8_48deu
kops.sourcefield.plainBELLA, Enrico di, Hrsg., Vincenzo GIOIA, Hrsg., Corrado LAGAZIO, Hrsg. und andere. Statistics for Innovation I : SIS 2025, Short Papers, Plenary, Specialized, and Solicited Sessions. Cham: Springer, 2025, S. 289-295. ISSN 3059-2135. eISSN 3059-2143. ISBN 978-3-031-96735-1. Verfügbar unter: doi: 10.1007/978-3-031-96736-8_48deu
kops.sourcefield.plainBELLA, Enrico di, ed., Vincenzo GIOIA, ed., Corrado LAGAZIO, ed. and others. Statistics for Innovation I : SIS 2025, Short Papers, Plenary, Specialized, and Solicited Sessions. Cham: Springer, 2025, pp. 289-295. ISSN 3059-2135. eISSN 3059-2143. ISBN 978-3-031-96735-1. Available under: doi: 10.1007/978-3-031-96736-8_48eng
kops.title.conferenceScientific Meeting of the Italian Statistical Society (SIS 2025)
relation.isAuthorOfPublication90913c2c-3951-48c7-b33f-891bad2abfc1
relation.isAuthorOfPublication.latestForDiscovery90913c2c-3951-48c7-b33f-891bad2abfc1
source.bibliographicInfo.fromPage289
source.bibliographicInfo.toPage295
source.contributor.editorBella, Enrico di
source.contributor.editorGioia, Vincenzo
source.contributor.editorLagazio, Corrado
source.flag.etalEditortrue
source.identifier.eissn3059-2143
source.identifier.isbn978-3-031-96735-1
source.identifier.issn3059-2135
source.publisherSpringer
source.publisher.locationCham
source.titleStatistics for Innovation I : SIS 2025, Short Papers, Plenary, Specialized, and Solicited Sessions

Dateien