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Detecting multiple stochastic network motifs in network data
Kai Liu
*
,
Kwok Wai CHEUNG
,
Jiming LIU
*
Corresponding author for this work
Department of Computer Science
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
6
Citations (Scopus)
Overview
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Dive into the research topics of 'Detecting multiple stochastic network motifs in network data'. Together they form a unique fingerprint.
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Keyphrases
Network Data
100%
Stochastic Networks
100%
Network Motifs
100%
Network Motif Detection
25%
Expectation-maximization Algorithm
25%
Detection Algorithm
25%
Motif Detection
25%
Finite Mixture Model
25%
Component-wise
25%
Optimal number
25%
Benchmark Dataset
25%
Detection Method
25%
Synthetic Data
25%
Structural Properties
25%
Stochastic Nature
25%
Probabilistic Model
25%
Interaction Uncertainty
25%
Mathematics
Stochastics
100%
Stochastic Networks
100%
Structural Property
20%
Expectation-Maximization Algorithm
20%
Finite Mixture Model
20%
Detection Method
20%
Optimal Number
20%
Computer Science
Detection Algorithm
100%
Structural Property
100%
Detection Method
100%
Biochemistry, Genetics and Molecular Biology
Network Motif
100%
Expectation-Maximization Algorithm
50%