Analysis of basic features in dynamic network models

Zufiria Zatarain, Pedro José and Barriales Valbuena, Iker (2018). Analysis of basic features in dynamic network models. "Entropy", v. 20 (n. 9); pp. 1-15. ISSN 1099-4300. https://doi.org/10.3390/e20090681.

Description

Title: Analysis of basic features in dynamic network models
Author/s:
  • Zufiria Zatarain, Pedro José
  • Barriales Valbuena, Iker
Item Type: Article
Título de Revista/Publicación: Entropy
Date: 2018
ISSN: 1099-4300
Volume: 20
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

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Abstract

Time evolving Random Network Models are presented as a mathematical framework for modelling and analyzing the evolution of complex networks. This framework allows the analysis over time of several network characterizing features such as link density, clustering coefficient, degree distribution, as well as entropy-based complexity measures, providing new insight on the evolution of random networks. First, some simple dynamic network models, based only on edge density, are analyzed to serve as a baseline reference for assessing more complex models. Then, a model that depends on network structure with the aim of reflecting some characteristics of real networks is also analyzed. Such model shows a more sophisticated behavior with two different regimes, one of them leading to the generation of high clustering coefficient/link density ratio values when compared with the baseline values, as it happens in many real networks. Simulation examples are discussed to illustrate the behavior of the proposed models.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainMTM2015-67396-PUnspecifiedUnspecifiedRedes complejas: modelado, dinámica y aplicaciones

More information

Item ID: 55012
DC Identifier: http://oa.upm.es/55012/
OAI Identifier: oai:oa.upm.es:55012
DOI: 10.3390/e20090681
Official URL: https://www.mdpi.com/1099-4300/20/9/681
Deposited by: Memoria Investigacion
Deposited on: 21 May 2019 15:43
Last Modified: 21 May 2019 15:43
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