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On computation of clustering coefficient in a class of random networks
random graph clustering degree of separation
2012/9/18
The random networks enriched with additional structures asmetric and group-symmetry in background metric space are investigated. The important quantities like he clustering coefficient as well as the ...
Distributed Detection over Random Networks: Large Deviations Performance Analysis
Chernoff information distributed detection random network running consensus
2011/2/24
We study the large deviations performance, i.e., the exponential decay rate of the error probability, of distributed detection algorithms over random networks.
Diffusion and Cascading Behavior in Random Networks
Diffusion Cascading Behavior Random Networks
2011/1/20
The spread of new ideas, behaviors or technologies has been extensively studied using epidemic models. Here we consider a model of diffusion where the individuals’ behavior is the result of a strategi...
On the Asymptotic Connectivity of Random Networks under the Random Connection Model
Asymptotic Connectivity Random Networks Random Connection Model
2011/3/4
Consider a network where all nodes are distributed on a unit square following a Poisson distribution with known density and a pair of nodes separated by an Euclidean distance x are directly connecte...
We discuss the complex dynamics of a non-linear random networks model, as a function of the connectivity k between the elements of the network. We show that this class of networks exhibit an order-cha...
Exchangeable Random Networks
Complex networks Exchangeable graphs Power law distributions Random Graphs Scalefree graphs Transcription networks
2010/4/30
We introduce and study a class of exchangeable random graph ensembles. They can
be used as statistical null models for empirical networks, and as a tool for theoretical
investigations. We provide ge...
Predicting secondary structures, contact numbers, and residue-wise contact orders of native protein structures from amino acid sequences using critical random networks
protein structure prediction one-dimensional structure position-specific scoring matrix critical random network
2010/12/2
Predictions of one-dimensional protein structures such as secondary structures and contact numbers are useful for predicting three-dimensional structure and important for understanding the sequence-st...