162808 20251017144643.0 doi 10.1140/epjb/s10051-025-01005-1 sideral 145337 ART-2025-145337 eng Rivero, Alejandro (orcid)0000-0002-6689-214X Geometrical distribution of agents based on a generalised Potts model 2025 Access copy available to the general public Unrestricted In collective local interaction systems with agents assigned to different profiles (categories, traits), the distribution of such profiles in the neighbourhood of any agent affects the exchange of ideas, a basic element in Collective Intelligence experiments. It is important to control this distribution experimentally, asking for criteria that should range from maximum homogeneity to maximum difference. We suggest a method where we obtain these criteria by adding an extra interaction term to the Q-state Potts model, producing a rich vacuum structure. By controlling the two parameters of the model, we can obtain different patterns for the geometrical distribution of the agents. We study the transitions and phase diagram of this model, considering the physics at constant magnetization, and show that the states correspond to a large diversity of mixing patterns, directly applicable to agent distribution in CI experiments. info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Tarancón, Alfonso Universidad de Zaragoza (orcid)0000-0003-2772-3762 Tarancón, Carlos 2004 405 Universidad de Zaragoza Dpto. Física Teórica Área Física Teórica 98, 182 (2025), [8 pp.] Eur. phys. j., B European Physical Journal. B 1434-6028 1019776 http://zaguan.unizar.es/record/162808/files/texto_completo.pdf Versión publicada 2721416 http://zaguan.unizar.es/record/162808/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:162808 articulos driver 2025-10-17-14:33:04 ARTICLE