Summary
the 2014 International Symposium on Nonlinear Theory and its Applications
2014
Session Number:B1L-D
Session:
Number:B1L-D2
Edge Consensus on Complex Networks: A Structural Analysis
Xiaoling Wang, Xiaofan Wang, Housheng Su,
pp.256-259
Publication Date:2014/9/14
Online ISSN:2188-5079
Summary:
Differing from the existed works centralize the nodal consensus, this paper shifts its focus to the consensus taking place on the edges (i.e., edge consensus) of complex networks and investigates the influence of network structure on its edge consensus. By transforming the original nodal topology to its corresponding line graph, we analyze the influence of network structure on some performances based on simulations, including the edge consensus convergence speed, edge degree distribution, and edge assortative property.