Core technologies identification based on a citation-network model: A case of laser technology system

2015 ◽  
pp. 923-928
Keyword(s):  
Network Model ◽  
Citation Network ◽  
Laser Technology ◽  
Technology System

scholarly journals Network cross-validation by edge sampling

Biometrika ◽  
2020 ◽  
Vol 107 (2) ◽  
pp. 257-276 ◽  
Author(s):  
Tianxi Li ◽  
Elizaveta Levina ◽  
Ji Zhu
Keyword(s):  
Model Selection ◽  
Network Model ◽  
Cross Validation ◽  
General Setting ◽  
Citation Network ◽  
Parameter Tuning ◽  
Network Nodes ◽  
Wide Range ◽  
Selection Tasks ◽  
Edge Sampling

Summary While many statistical models and methods are now available for network analysis, resampling of network data remains a challenging problem. Cross-validation is a useful general tool for model selection and parameter tuning, but it is not directly applicable to networks since splitting network nodes into groups requires deleting edges and destroys some of the network structure. In this paper we propose a new network resampling strategy, based on splitting node pairs rather than nodes, that is applicable to cross-validation for a wide range of network model selection tasks. We provide theoretical justification for our method in a general setting and examples of how the method can be used in specific network model selection and parameter tuning tasks. Numerical results on simulated networks and on a statisticians’ citation network show that the proposed cross-validation approach works well for model selection.

A Network Model for Optimizing two Echelon Multi-Item Repair Level Decisions

1991 ◽  
Vol 8 (1) ◽  
pp. 77-90
Author(s):  
W. Steven Demmy ◽  
Lawrence Briskin
Keyword(s):  
Network Model
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