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Joint latent space models for ranking data and social network
Jiaqi GU,
Leung Ho Philip YU
Department of Mathematics and Information Technology (MIT)
Research output
:
Contribution to journal
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Articles
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peer-review
1
Citation (Scopus)
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Keyphrases
Bayesian Inference Approach
16%
Between-person
16%
Conditional Independence
16%
Conditional Independence Test
16%
Copyright
16%
Data Networks
100%
Evaluation Model
16%
Exclusive License
16%
Fitness Evaluation
16%
Human Communication
16%
Human Interaction
16%
Implicit Preference
16%
Individual Preferences
16%
Individual Ranking
16%
Joint Probabilistic Modeling
16%
Latent Space
33%
Latent Space Models
100%
MCMC Algorithm
16%
Model Fitness
33%
Model Selection
16%
Model Selection Criteria
16%
New Joint
16%
Order Preference
16%
Parameter Estimation Model
16%
Rank Order
16%
Ranking Data
100%
Simulation Study
16%
Social Life
16%
Social Networks
100%
Social Rank
16%
Trust Relation
16%
User Trust
16%
Mathematics
Bayesian Inference
50%
Conditional Independence
100%
Fitness Evaluation
50%
Human Interaction
50%
Model Selection
50%
Model Selection Criterion
50%
Parameter Estimation
50%
Simulation Study
50%
Space Model
100%
Computer Science
Computer Network
100%
Conditional Independence
33%
Essential Feature
16%
Evaluation Models
16%
Fitness Evaluation
16%
Human Interaction
16%
Parameter Estimation
16%
Preference Order
16%
Selection Criterion
16%
Simulation Study
16%
Social Network
100%