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Shortest path-based centrality metrics in attributed graphs with node-individual context constraints

Titelangaben

Schönfeld, Mirco ; Pfeffer, Jürgen:
Shortest path-based centrality metrics in attributed graphs with node-individual context constraints.
In: Social Networks. Bd. 77 (2024) . - S. 93-103.
ISSN 0378-8733
DOI: https://doi.org/10.1016/j.socnet.2021.10.004

Angaben zu Projekten

Projekttitel:
Offizieller Projekttitel
Projekt-ID
Africa Multiple Cluster of Excellence at the University of Bayreuth
EXC 2052/1 – 390713894

Projektfinanzierung: Deutsche Forschungsgemeinschaft

Abstract

Centrality measurements are a well-known method to assess the importance of actors in networks. They are easy to obtain and provide a versatile interpretability adaptable to the meaning of nodes and edges. The current centrality measurements use structural information alone. In real-world situations, however, actors and the connections between them are subject to contextual settings and can be significantly influenced by these settings. In fact, such real-world observations are often modeled using attributed networks in which contextual information can be associated as attributes to nodes and edges. However, this information is disregarded when evaluating the importance of actors in terms of network centrality measurements. Hence, this paper proposes a method for obtaining shortest path-based centrality measurements for attributed networks that exploit attribute information on nodes for shortest path calculations. We add abstracts of scientific publications to a co-publishing network and use topic models to create node-individual context constraints for shortest path calculations. This creates additional analytic opportunities and can aid in gaining a detailed understanding of complex social networks.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: Attributed network; Betweenness centrality; Closeness centrality; Contextual embeddedness
Institutionen der Universität: Fakultäten > Sprach- und Literaturwissenschaftliche Fakultät
Fakultäten > Sprach- und Literaturwissenschaftliche Fakultät > Juniorprofessur Datenmodellierung und interdisziplinäre Wissensgenerierung
Fakultäten > Sprach- und Literaturwissenschaftliche Fakultät > Juniorprofessur Datenmodellierung und interdisziplinäre Wissensgenerierung > Juniorprofessur Datenmodellierung und interdisziplinäre Wissensgenerierung - Juniorprof. Dr. Mirco Schönfeld
Fakultäten
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
Eingestellt am: 17 Nov 2021 09:44
Letzte Änderung: 17 Jun 2024 12:38
URI: https://eref.uni-bayreuth.de/id/eprint/67656