title: Estimating topology of networks.
abstract: We suggest a method for estimating the topology of a network based on the dynamical evolution supported on the network. Our method is robust and can be also applied when disturbances and/or modeling errors are presented. Several examples with networks of phase oscillators, pulse-coupled Hindmarch-Rose neurons, and Lorenz oscillators are provided to illustrate our approach.
authors.affiliation: College of Automation Engineering, Qingdao University, 308 Ningxia Road, Qingdao, Shandong 266071, People's Republic of China.
authors.forename: Dongchuan
authors.initials: D
authors.lastname: Yu
authors.forename: Marco
authors.initials: M
authors.lastname: Righero
authors.forename: Ljupco
authors.initials: L
authors.lastname: Kocarev