Structural Robustness to Noise in Consensus Networks: Impact of Degrees and Distances, Fundamental Limits, and Extremal Graphs.
Yasin YaziciogluWaseem AbbasMudassir ShabbirPublished in: CoRR (2019)
Keyphrases
- fundamental limits
- graph theory
- directed networks
- greater robustness
- dynamic networks
- distance measure
- complex networks
- real world networks
- neural network
- fully connected
- random noise
- network structure
- small world
- social networks
- highly connected
- graph structures
- structural information
- signal to noise ratio
- small world networks
- real world graphs
- community discovery
- missing data
- bipartite graph
- noise reduction
- heterogeneous networks
- power law
- network analysis
- directed graph
- high resolution
- clustering algorithm
- image processing
- network properties
- computer vision
- degree distribution
- clustering coefficient
- noisy data
- graph model
- community detection
- graph matching