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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.
Title: | Feature characterization in some weighted directed networks |
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Author/s: |
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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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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.
Item ID: | 64611 |
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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 |