4.5 Article

Hierarchical centralities of information transmissions in reaching a consensus

Journal

PHYSICS LETTERS A
Volume 383, Issue 5, Pages 432-439

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.physleta.2018.11.013

Keywords

Opinion dynamics; Consensus; Centrality measure

Funding

  1. National Science Council of Republic of China (Taiwan) [NSC 100-2112-M-033-002]

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The question, how central indications arise from an undirected environment and lead to collective behaviors, is analyzed based on a simple model of opinion dynamics, called the DeGroot model. We first reformulate the necessary and sufficient condition for reaching a consensus, then the condition is used to set up the pattern of information transmissions. By classifying the individuals into a sequential series of classes and by giving the dynamic contents of centrality, we demonstrate that the hierarchical centralities with descend strength are associated with the sequential series of classes in information transmissions. The results provide wide applications in social engineering, an example about the merger of different groups is discussed. (C) 2018 Elsevier B.V. All rights reserved.

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