Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Link opens in a new tab
Search content at Illinois Experts
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
The stochastic pseudo-star degree centrality problem
Mustafa C. Camur
, Thomas C. Sharkey
,
Chrysafis Vogiatzis
Industrial and Enterprise Systems Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'The stochastic pseudo-star degree centrality problem'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Degree Centrality
100%
Centrality Measures
100%
Protein-protein Interaction Network
66%
Existence Probability
66%
Leaf Nodes
66%
NP-complete
33%
Computational Results
33%
Logic-based
33%
Essential Proteins
33%
Solution Time
33%
Group-based
33%
Optimization Model
33%
Bender
33%
Phase Decomposition
33%
Small-world Network
33%
Decomposition Framework
33%
Solution Quality
33%
Benders Decomposition Algorithm
33%
Star Network
33%
Commercial Solver
33%
Small-world Graph
33%
Center Node
33%
Identifying Essential Proteins
33%
Open Neighborhood
33%
McCormick Inequalities
33%
Benders Cut
33%
Nonlinear Binary Optimization
33%
Feasibility Cuts
33%
Mathematics
Probability Theory
100%
Stochastics
100%
Edge
50%
Protein Interaction Network
50%
Leaf Node
50%
Decomposition Algorithms
25%
Nonlinear
25%
Unique Assignment
25%
Benders Decomposition
25%
McCormick
25%
Open Neighbourhood
25%
Computer Science
Degree Centrality
100%
Centrality Metric
100%
Small-World Network
33%
Solution Quality
33%
Star Network
33%
Individual Probability
33%