Universitat Autònoma de Barcelona
Altres ajuts: acords transformatius de la UAB
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).
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.
Article
English
Aggregated relational data; Agent-based modeling; Small-world network; Large scale networks; Acquaintance relationships
Social networks ; Vol. 84 (january 2026), p. 164-179
open access
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