Unknown

Dataset Information

Majority networks and local consensus algorithm.


ABSTRACT: In this paper, we study consensus behavior based on the local application of the majority consensus algorithm (a generalization of the majority rule) over four-connected bi-dimensional networks. In this context, we characterize theoretically every four-vicinity network in its capacity to reach consensus (every individual at the same opinion) for any initial configuration of binary opinions. Theoretically, we determine all regular grids with four neighbors in which consensus is reached and in which ones not. In addition, in those instances in which consensus is not reached, we characterize statistically the proportion of configurations that reach spurious fixed points from an ensemble of random initial configurations. Using numerical simulations, we also analyze two observables of the syste

SUBMITTER: Goles E 

PROVIDER: S-EPMC9892600 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature