title: Weak signal transmission in complex networks and its application in detecting connectivity.
abstract: We present a network model of coupled oscillators to study how a weak signal is transmitted in complex networks. Through both theoretical analysis and numerical simulations, we find that the response of other nodes to the weak signal decays exponentially with their topological distance to the signal source and the coupling strength between two neighboring nodes can be figured out by the responses. This finding can be conveniently used to detect the topology of unknown network, such as the degree distribution, clustering coefficient and community structure, etc., by repeatedly choosing different nodes as the signal source. Through four typical networks, i.e., the regular one dimensional, small world, random, and scale-free networks, we show that the features of network can be approximately given by investigating many fewer nodes than the network size, thus our approach to detect the topology of unknown network may be efficient in practical situations with large network size.
authors.affiliation: Institute of Theoretical Physics, Department of Physics, East China Normal University, Shanghai, China.
authors.forename: Xiaoming
authors.initials: X
authors.lastname: Liang
authors.forename: Zonghua
authors.initials: Z
authors.lastname: Liu
authors.forename: Baowen
authors.initials: B
authors.lastname: Li
mesh_terms: D000818:Animals; D001683:Biological Clocks / Q000502:physiology*; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D009415:Nerve Net / Q000502:physiology*; D009435:Synaptic Transmission / Q000502:physiology*