Results 21 to 30 of about 6,979,871 (382)
Turing patterns mediated by network topology in homogeneous active systems. [PDF]
Physical Review E, 2019 Mechanisms of pattern formation-of which the Turing instability is an archetype-constitute an important class of dynamical processes occurring in biological, ecological, and chemical systems.
Sayat Mimar +4 more
semanticscholar +1 more source
Active Topology Inference using Network Coding [PDF]
, 1998 Our goal is to infer the topology of a network when (i) we can send probes between sources and receivers at the edge of the network and (ii) intermediate nodes can perform simple network coding operations, i.e., additions.
Buchbinder, E.I. +3 more
core +3 more sources
Noise-Induced Network Topologies
Physical Review Letters, 2023 We analyze transport on a graph with multiple constraints and where the weight of the edges connecting the nodes is a dynamical variable. The network dynamics results from the interplay between a nonlinear function of the flow, dissipation, and Gaussian, additive noise.
Frederic Folz +2 more
openaire +3 more sources
Network Topology Inference Based on Subset Structure Fusion
IEEE Access, 2020 Network topology measurement is an important component in network research. Network tomography is able to accurately infer network topology by using end-to-end measurement without cooperation of internal routers.
Jian Ye +3 more
doaj +1 more source
Novel Online Dimensionality Reduction Method with Improved Topology Representing and Radial Basis Function Networks. [PDF]
PLoS ONE, 2015 This paper presents improvements to the conventional Topology Representing Network to build more appropriate topology relationships. Based on this improved Topology Representing Network, we propose a novel method for online dimensionality reduction that ...
Shengqiao Ni +3 more
doaj +1 more source
Fingerprint for Network Topologies [PDF]
, 2009 12papes, 3 figures, in ...
Shi Zhou, Changjia Chen, Yuchun Guo
openaire +4 more sources
Superpositional Quantum Network Topologies [PDF]
International Journal of Theoretical Physics, 2004 We introduce superposition-based quantum networks composed of (i) the classical perceptron model of multilayered, feedforward neural networks and (ii) the algebraic model of evolving reticular quantum structures as described in quantum gravity. The main feature of this model is moving from particular neural topologies to a quantum metastructure which ...
Jarosław Pykacz +2 more
openaire +4 more sources
State-Space Network Topology Identification From Partial Observations [PDF]
IEEE Transactions on Signal and Information Processing over Networks, 2019 In this article, we explore the state-space formulation of a network process to recover from partial observations the network topology that drives its dynamics.
M. Coutiño +3 more
semanticscholar +1 more source
A hierarchical network model for network topology design using genetic algorithm
MATEC Web of Conferences, 2017 Network topology design has directly impact on network construction costs and network performance. Majority of current network topology design take the network physical topology parameters into consideration, such as the reliability and cost constraints,
Wang Chunlin +4 more
doaj +1 more source
Cyclic topology in complex networks [PDF]
Physical Review E, 2005 We propose a cyclic coefficient $R$ which represents the cyclic characteristics of complex networks. If the network forms a perfect tree-like structure then $R$ becomes zero. The larger value of $R$ represents that the network is more cyclic. We measure the cyclic coefficients and the distributions of the local cyclic coefficient for both various real ...
Jin Min Kim +3 more
openaire +4 more sources