The original leader–follower model categorizes agents with opinions in $ [-1, 1] $ into a follower group, a leader group with a positive target opinion in $ [0, 1] $, and a leader group with a negative target opinion in $ [-1, 0] $. Leaders maintain a constant attraction to their target, blending it with the average opinion of their group neighbors at each update. Followers, on the other hand, have a constant attraction to the average opinion of their leader group's opinion neighbors, also integrating it with their group neighbors' average opinion. This model was numerically studied.
This paper extends the leader–follower model to include a social relationship, variable degrees over time, high-dimensional opinions, and a flexible number of leader groups. We theoretically investigate conditions for asymptotic stability or consensus, particularly in scenarios where a few leaders can dominate the entire population.
Citation: Hsin-Lun Li. Leader–follower dynamics: stability and consensus in a socially structured population[J]. AIMS Mathematics, 2025, 10(2): 3652-3671. doi: 10.3934/math.2025169
The original leader–follower model categorizes agents with opinions in $ [-1, 1] $ into a follower group, a leader group with a positive target opinion in $ [0, 1] $, and a leader group with a negative target opinion in $ [-1, 0] $. Leaders maintain a constant attraction to their target, blending it with the average opinion of their group neighbors at each update. Followers, on the other hand, have a constant attraction to the average opinion of their leader group's opinion neighbors, also integrating it with their group neighbors' average opinion. This model was numerically studied.
This paper extends the leader–follower model to include a social relationship, variable degrees over time, high-dimensional opinions, and a flexible number of leader groups. We theoretically investigate conditions for asymptotic stability or consensus, particularly in scenarios where a few leaders can dominate the entire population.
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