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Diffusion of Innovations: a computational approach based on Axelrod's model

Grant number: 15/17277-0
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): February 01, 2016
Effective date (End): October 31, 2019
Field of knowledge:Physical Sciences and Mathematics - Physics - General Physics
Principal researcher:José Fernando Fontanari
Grantee:Sandro Martinelli Reia
Home Institution: Instituto de Física de São Carlos (IFSC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated scholarship(s):16/20874-3 - Diffusion of Innovations: combining theoretical-computational models with real data observations, BE.EP.PD

Abstract

In Axelrod's model of social influence, the agents are fixed on the sites of a square lattice with connections between nearest neighbors only, and are represented by lists of F features (religious beliefs, education level, social status, etc.) with each feature taking on a number q of distinct values. Following Axelrod, we use the term culture to denote this list of features that is susceptible to changes due to social influence. The interaction between neighboring agents depends on their cultural similarity (homophily) and results in an increase of this similarity (social influence). Depending on the values of the parameters q and F, the steady state of the dynamics may or may not exhibit cultural coexistence and these two outcomes are separated by a non-equilibrium phase transition in the space of parameters of the model. Our main goal is to investigate the classic process of diffusion of innovations using variants of Axelrod's model that include external fields (global media) and a distinctive agent with a fixed cultural feature (the innovation). In this line, we will also study the effect of demographic expansion, i.e., not only the ideas spread from agent to agent, but agents can also move around the lattice.

Scientific publications (11)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
REIA, SANDRO M. Diffusion of innovations in Axelrod's model on small-world networks. INTERNATIONAL JOURNAL OF MODERN PHYSICS C, v. 31, n. 8 AUG 2020. Web of Science Citations: 0.
REIA, SANDRO M.; AQUINO, LARISSA F.; FONTANARI, JOSE F. The surprising little effectiveness of cooperative algorithms in parallel problem solving. European Physical Journal B, v. 93, n. 7 JUL 15 2020. Web of Science Citations: 0.
REIA, SANDRO M.; GOMES, PAULO F.; FONTANARI, JOSE F. Comfort-driven mobility produces spatial fragmentation in Axelrod's model. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, v. 2020, n. 3 MAR 2020. Web of Science Citations: 0.
REIA, SANDRO M.; AMADO, ANDRE C.; FONTANARI, JOSE F. Agent-based models of collective intelligence. PHYSICS OF LIFE REVIEWS, v. 31, p. 320-331, DEC 2019. Web of Science Citations: 2.
REIA, SANDRO M.; GOMES, PAULO F.; FONTANARI, JOSE F. Policies for allocation of information in task-oriented groups: elitism and egalitarianism outperform welfarism. European Physical Journal B, v. 92, n. 9 SEP 2019. Web of Science Citations: 0.
REIA, SANDRO M.; MADEIRA, GUSTAVO D. M.; FIORELLI, JOAO P.; NEVES, UBIRACI P. C. Species differentiation in Axelrod's model. INTERNATIONAL JOURNAL OF MODERN PHYSICS C, v. 30, n. 8 AUG 2019. Web of Science Citations: 0.
REIA, SANDRO M.; GOMES, PAULO F.; FONTANARI, JOSE F. Individual decision making in task-oriented groups. European Physical Journal B, v. 92, n. 5 MAY 2019. Web of Science Citations: 1.
GOMES, PAULO F.; REIA, SANDRO M.; RODRIGUES, FRANCISCO A.; FONTANARI, JOSE F. Mobility helps problem-solving systems to avoid groupthink. Physical Review E, v. 99, n. 3 MAR 6 2019. Web of Science Citations: 1.
REIA, SANDRO M.; FONTANARI, JOSE F. Effect of group organization on the performance of cooperative processes. ECOLOGICAL COMPLEXITY, v. 30, n. SI, p. 47-56, JUN 2017. Web of Science Citations: 7.
REIA, SANDRO M.; HERRMANN, SEBASTIAN; FONTANARI, JOSE F. Impact of centrality on cooperative processes. Physical Review E, v. 95, n. 2 FEB 9 2017. Web of Science Citations: 9.
REIA, SANDRO M.; FONTANARI, JOSE F. Effect of long-range interactions on the phase transition of Axelrod's model. Physical Review E, v. 94, n. 5 NOV 30 2016. Web of Science Citations: 2.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.