title: Communicability angles reveal critical edges for network consensus dynamics.
abstract: We consider the question of determining how the topological structure influences a consensus dynamical processes taking place on a network. By considering a large data set of real-world networks we first determine that the removal of edges according to their communicability angle, an angle between position vectors of the nodes in an Euclidean communicability space, increases the average time of consensus by a factor of 5.68 in real-world networks. The edge betweenness centrality also identifies, in a smaller proportion, those critical edges for the consensus dynamics; i.e., its removal increases the time of consensus by a factor of 3.70. We justify theoretically these findings on the basis of the role played by the algebraic connectivity and the isoperimetric number of networks on the dynamical process studied and their connections with the properties mentioned before. Finally, we study the role played by global topological parameters of networks on the consensus dynamics. We determine that the network density and the average distance-sum, which is analogous of the node degree for shortest-path distances, account for more than 80% of the variance of the average time of consensus in the real-world networks studied.
authors.affiliation: Department of Mathematics and Statistics, University of Strathclyde, 26 Richmond Street, Glasgow G1 1HX, United Kingdom.
authors.forename: Ernesto
authors.initials: E
authors.lastname: Estrada
authors.affiliation: Department of Mathematics and Statistics, University of Strathclyde, 26 Richmond Street, Glasgow G1 1HX, United Kingdom.
authors.forename: Eusebio
authors.initials: E
authors.lastname: Vargas-Estrada
authors.affiliation: Division of Policy and Planning Sciences, Faculty of Engineering, Information and Systems, University of Tsukuba 1-1-1 Ten-noudai, Tsukuba, 305-8573 Japan.
authors.forename: Hiroyasu
authors.initials: H
authors.lastname: Ando