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Everything about Configuration model
Family of random graph models
In network science, the Configuration Model is a family of random graph models designed to generate networks from a given degree sequence. Unlike simpler models such as the Erdős–Rényi model, Configuration Models preserve the degree of each vertex as a pre-defined property. This flexibility allows the modeler to construct networks with arbitrary degree distributions, making it widely used as a reference model for real-life networks, particularly in social, biological, and technological domains. The concept of "Configuration Model" was first introduced by Béla Bollobás, who laid the foundation for its application in graph theory and network science. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Configuration modelA 5-minute orientation
- Skim a recent paper: Generalized Model and Configuration Design of Multiple-Axis Flexure HingesInfluential work since 2022
- Pick up a classic book: The construction of optimal stated choice experimentsThe most-reprinted book on the subject
- Read the landmark paper: Configuration mixing in the interacting boson modelCited 165 times
- Go sideways: Degree distributionA closely related topic
- Go sideways: Modularity (networks)A closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Configuration mixing in the interacting boson model
Monopole configuration in Weinberg-Salam model
Cluster-configuration shell model for alpha decay
Preserving correctness during business process model configuration
A Configuration Model of Organizational Culture
Model-based analysis of configuration vulnerabilities1
Chiral quark model with configuration mixing
A modular product multi-platform configuration model
🆕 Influential since 2022
Generalized Model and Configuration Design of Multiple-Axis Flexure Hinges
Deep stochastic configuration networks with optimised model and hyper-parameters
Recent progress in configuration–interaction shell model
A configuration-driven nonlocal model for functionally graded lattices
Highly efficient freezing desalination technology: Parameters optimization and model configuration
đź“š Books worth reading
The construction of optimal stated choice experimentsDeborah J. Street · 2007- 📕Wing-section optimization for supersonic viscous flowCem C. Item · 1995
Electrons and disorder in solidsV. F. Gantmakher · 2005- 📕Large-D limit for correlation methods in atomsJohn H. Summerfield · 1994
Hubbard operators in the theory of strongly correlated electronsS. G. Ovchinnikov · 2004- 📕Experimental aerothermodynamic research of hypersonic aircraftJoseph W. Cleary · 1987
Anderson localization and its ramificationsTobias Brandes · 2003- 📕Analytical modeling of pressure wall hole size and maximum tip-to-tip crack length for perforating normal and oblique orbital debris impactsWilliam P. Schonberg · 1997
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
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