Use of aggregated relational data in agent-based modeling
Lee, Yunsub (Universitat Autònoma de Barcelona. Departament d'Antropologia Social i Cultural)
Xu, Xinwei (Social Networks Lab. ETH Zürich)

Date:	2025
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.
Note:	Altres ajuts: acords transformatius de la UAB
Note:	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).
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.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Aggregated relational data ; Agent-based modeling ; Small-world network ; Large scale networks ; Acquaintance relationships
Published in:	Social networks, Vol. 84 (january 2026) , p. 164-179, ISSN 1879-2111

DOI: 10.1016/j.socnet.2025.09.004

16 p, 7.7 MB

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