Fuzzy Random Walkers with Second Order Bounds: An Asymmetric Analysis

Fuzzy Random Walkers with Second Order Bounds: An Asymmetric Analysis

Edge-fuzzy graphs constitute an essential modeling paradigm across a broad spectrum of domains ranging from artificial intelligence to computational neuroscience and social network analysis. Under this model, fundamental graph properties such as edge length and graph diameter become stochastic and a...

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Bibliographic Details
Main Authors: Georgios Drakopoulos, Andreas Kanavos, Konstantinos Tsakalidis
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Algorithms
Subjects:
Bernoulli distribution
binomial distribution
Chebyshev inequality
first order statistics
fuzzy graphs
graph analytics
higher order data
Jensen inequality
Markov inequality
Poisson distribution
Random Walker principle
second order statistics
Walktrap algorithm
Online Access:http://www.mdpi.com/1999-4893/10/2/40

Internet

http://www.mdpi.com/1999-4893/10/2/40

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