Feature characterization in some weighted directed networks

Zufiria Zatarain, Pedro José 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:
  • Zufiria Zatarain, Pedro José
  • McMillon, Colleen
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

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

More information

Item ID: 64611
DC Identifier: http://oa.upm.es/64611/
OAI Identifier: oai:oa.upm.es:64611
Official URL: http://www.dpi-proceedings.com/index.php/dtcse/issue/view/361
Deposited by: Memoria Investigacion
Deposited on: 26 Oct 2020 15:11
Last Modified: 26 Oct 2020 15:11
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