Feature characterization in some weighted directed networks

Zufiria Zatarain, Pedro José ORCID: https://orcid.org/0000-0002-1217-1216 and McMillon, Colleen (2019). Feature characterization in some weighted directed networks. In: "2nd International Conference on Informatics, Control and Automation (ICA 2019)", 26/05/2019 - 27/05/2019, Hangzhou, China. ISBN 978-1-60595-637-4. pp. 62-66.

Description

Title: Feature characterization in some weighted directed networks
Author/s:
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2nd International Conference on Informatics, Control and Automation (ICA 2019)
Event Dates: 26/05/2019 - 27/05/2019
Event Location: Hangzhou, China
Title of Book: Proceedings of 2019 2nd International Conference on Informatics, Control and Automation (ICA 2019)
Date: 2019
ISBN: 978-1-60595-637-4
Subjects:
Freetext Keywords: Network Analysis; Time Evolution; Telephone Data
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

The paper studies the time evolution of weighted directed networks by evaluating some of their fundamental features along time. The main concepts are illustrated by analyzing the evolution of a network which represents the call flow between the towers of a telephone operator in Senegal. Different time scales (hour, day, week, month) are considered to compute the evolution of features in order to characterize properties which may follow cyclic behaviors. A joint characterization of the features is also performed via a paired correlation analysis which also shows to be sensitive to time scales, suggesting different seasonal behaviors in the communication patterns.

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: 64611
DC Identifier: https://oa.upm.es/64611/
OAI Identifier: oai:oa.upm.es:64611
Official URL: http://www.dpi-proceedings.com/index.php/dtcse/iss...
Deposited by: Memoria Investigacion
Deposited on: 26 Oct 2020 15:11
Last Modified: 26 Oct 2020 15:11
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