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Entropy characterization of random network models
Citation
Zufiria Zatarain, Pedro José 
ORCID: https://orcid.org/0000-0002-1217-1216 and Barriales Valbuena, Iker
(2017).
Entropy characterization of random network models.
"Entropy", v. 19
(n. 7);
pp. 1-13.
ISSN 1099-4300.
https://doi.org/10.3390/e19070321.
Description
| Title: | Entropy characterization of random network models |
|---|---|
| Author/s: |
|
| Item Type: | Article |
| Título de Revista/Publicación: | Entropy |
| Date: | 2017 |
| ISSN: | 1099-4300 |
| Volume: | 19 |
| Subjects: | |
| Freetext Keywords: | Complex networks; stochastic modelling; entropy; estimation |
| Faculty: | E.T.S.I. Telecomunicación (UPM) |
| Department: | Matemática Aplicada a las Tecnologías de la Información y las Comunicaciones |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
This paper elaborates on the Random Network Model (RNM) as a mathematical framework for modelling and analyzing the generation of complex networks. Such framework allows the analysis of the relationship between several network characterizing features (link density, clustering coefficient, degree distribution, connectivity, etc.) and entropy-based complexity measures, providing new insight on the generation and characterization of random networks. Some theoretical and computational results illustrate the utility of the proposed framework.
Funding Projects
Type
Code
Acronym
Leader
Title
Government of Spain
MTM2015-67396-P
Unspecified
Unspecified
Redes complejas: modelado, dinámica y aplicaciones
More information
| Item ID: | 50810 |
|---|---|
| DC Identifier: | https://oa.upm.es/50810/ |
| OAI Identifier: | oai:oa.upm.es:50810 |
| DOI: | 10.3390/e19070321 |
| Official URL: | http://www.mdpi.com/1099-4300/19/7/321 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 20 May 2018 10:10 |
| Last Modified: | 25 Jan 2023 15:22 |
