Optimal Leader Selection for Fast Consensus via Consensus Centrality
In real applications,network resources are generally limited.Motivated by the significance of optimizing network,the consensus centrality index is proposed to quantify how fast a leader could guide all the nodes in a network to reach the desired consensus.On the basis of complex networks,the relation of the consensus centrality distribution and the degree distribution in several model and real networks is investigated.Moreover,the influence of network structure on consensus performance is studied.As the network becoming more heterogeneous or denser,the maximum consensus centrality increases.The faster convergence speed can be achieved if the node with the maximum consensus centrality is selected leader.
Consensus centrality Fast convergence Leader selection Frequency distribution Pearson correlation coefficient
WANG Ying YANG Wen WANG Xiaofan
Department of Automation,Shanghai Jiao Tong University,and Key Laboratory of System Control and Info Key Laboratory of Advanced Control and Optimization for Chemical Processes(East China University of
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
1482-1487
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）