March 1, 2024Chaos An Interdisciplinary Journal of Nonlinear ScienceOpen Access

Opinion dynamics on biased dynamical networks: Beyond rare opinion updating

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Authors

XWXunlong WangBeijing University of Posts and Telecommunications BWBin WuJiujiang University

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Implication

Theoretical analysis reveals that conformity inhibits majority opinion dominance in networked populations, indicating that in-group bias counterintuitively suppresses consensus.

Key Points

Conformity unexpectedly inhibits the domination of popular opinions during opinion dynamics, as individuals adopting prevalent views reduce the spread of majority consensus.
A one-dimensional stable manifold determines both the fixation probability and fixation time, defining the most probable evolutionary trajectory toward network consensus.
Analytical approximation incorporates the statistical coefficient of determination and rewiring probability to track arbitrary time scales between opinions and connections.
Fosters deeper insight into dynamical networks by framing opinion updates as a coordination game, where structural rewiring effectively rescales the selection intensity.

Cite This Study

Wang et al. (2024) studied this question.

synapsesocial.com/papers/68e764abb6db6435876da7e3 https://doi.org/10.1063/5.0192642

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Implication

Theoretical analysis reveals that conformity inhibits majority opinion dominance in networked populations, indicating that in-group bias counterintuitively suppresses consensus.

Opinion dynamics on biased dynamical networks: Beyond rare opinion updating

Discussion

Member takes

Implication

Key Points

Cite This Study

Opinion dynamics on biased dynamical networks: Beyond rare opinion updating

Discussion

Member takes

Implication

Key Points

Cite This Study

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