Leader–follower coherence in multi-layer networks: Understanding allocations of leaders
Yixin Wang, Jun Wang, Weigang Sun · International Journal of Modern Physics C · 2023
This paper investigates a leader–follower consensus problem of multi-layer networks and understands the role of leader’s allocations in the process of consensus. Leader–follower coherence quantified by the spectrum measures the extent of consensus between leaders and followers in the system under additive noise. In order to study the exact interplay between leader–follower coherence and leader’s allocations, we choose complete multi-partite networks as network models and assign the leaders into different layers. Based on the network construction, we obtain exact solutions of leader–follower coherence with freely assigned leaders and reveal that the allocations of leaders have a significant impact on the coherence. Finally, we compare the leader–follower coherence and leaderless coherence of bipartite networks when the number of leaders and network size satisfies certain conditions.