39 research outputs found
Mean-field analysis of the q-voter model on networks
We present a detailed investigation of the behavior of the nonlinear q-voter
model for opinion dynamics. At the mean-field level we derive analytically, for
any value of the number q of agents involved in the elementary update, the
phase diagram, the exit probability and the consensus time at the transition
point. The mean-field formalism is extended to the case that the interaction
pattern is given by generic heterogeneous networks. We finally discuss the case
of random regular networks and compare analytical results with simulations.Comment: 20 pages, 10 figure
Ordering dynamics of the multi-state voter model
The voter model is a paradigm of ordering dynamics. At each time step, a
random node is selected and copies the state of one of its neighbors.
Traditionally, this state has been considered as a binary variable. Here, we
relax this assumption and address the case in which the number of states is a
parameter that can assume any value, from 2 to \infty, in the thermodynamic
limit. We derive mean-field analytical expressions for the exit probability and
the consensus time for the case of an arbitrary number of states. We then
perform a numerical study of the model in low dimensional lattices, comparing
the case of multiple states with the usual binary voter model. Our work
generalizes the well-known results for the voter model, and sheds light on the
role of the so far almost neglected parameter accounting for the number of
states
Projete comunicação para sustentabilidade : experiências, resultados e perspectivas
Ilustrações do capítulo encontram-se no Anexo I do livro Universidade para o século XXI: educação e gestão
ambiental na Universidade de Brasília, p. 331.O capítulo apresenta o relato do PROJETE Comunicação para Sustentabilidade, Projeto de Extensão de Ação Contínua, vinculado à Faculdade de Comunicação da UnB. Discute o referencial teórico, objetivos, procedimentos metodológicos, resultados e perspectivas do projeto de extensão. Desenha o cenário de execução do PROJETE e demonstra a integração desse projeto de extensão com outras ações
de pesquisa (iniciação científica e pós-graduação) e de ensino desenvolvidas pela
coordenação da equipe