dc.contributor.author
Lee, Yunsub
dc.contributor.author
Xu, Xinwei
dc.date.accessioned
2025-11-09T13:02:39Z
dc.date.available
2025-11-09T13:02:39Z
dc.identifier
https://ddd.uab.cat/record/321801
dc.identifier
urn:10.1016/j.socnet.2025.09.004
dc.identifier
urn:oai:ddd.uab.cat:321801
dc.identifier
urn:scopus_id:105017672374
dc.identifier
urn:articleid:03788733v84p164
dc.identifier.uri
https://hdl.handle.net/2072/488840
dc.description.abstract
Altres ajuts: acords transformatius de la UAB
dc.description.abstract
This project has received funding from the European Research Council (ERC) under the European Union\u2019s Horizon 2020 research and innovation program (grant agreement No. 101020038). The second author is also supported by funding from the Swiss National Science Foundation (SNSF, grant No. 10001512).
dc.description.abstract
Aggregated relational data (ARD) provides valuable information for inferring structural features of personal social networks at scale. Following recent ARD studies, we suggest a formal parameter for agent-based modeling (ABM) that helps reflect multiple structural features of extended social networks (e.g., size; variation; distribution) and apply it to a widely known classic ABM-Axelrod's cultural dynamic model. Results show that when incorporating realistic network features estimated from ARD, the model generates outcomes substantially different from its original results. Our study highlights ARD's potential to enrich ABM in reflecting more realistic networks that better connect micro-processes with macro-phenomena.
dc.format
application/pdf
dc.relation
Social networks ; Vol. 84 (january 2026), p. 164-179
dc.rights
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
dc.rights
https://creativecommons.org/licenses/by/4.0/
dc.subject
Aggregated relational data
dc.subject
Agent-based modeling
dc.subject
Small-world network
dc.subject
Large scale networks
dc.subject
Acquaintance relationships
dc.title
Use of aggregated relational data in agent-based modeling
