Please use this identifier to cite or link to this item:
http://hdl.handle.net/1843/58815
Type: | Artigo de Periódico |
Title: | Assessing diversity in multiplex networks |
Authors: | Laura C. Carpi Tiago A. Schieber Panos M. pardalos Gemma Marfany Cristina Masoller Albert Díaz-Guilera Martín G. Ravetti |
Abstract: | Diversity, understood as the variety of different elements or configurations that an extensive system has, is a crucial property that allows maintaining the system’s functionality in a changing environment, where failures, random events or malicious attacks are often unavoidable. Despite the relevance of preserving diversity in the context of ecology, biology, transport, finances, etc., the elements or configurations that more contribute to the diversity are often unknown, and thus, they can not be protected against failures or environmental crises. This is due to the fact that there is no generic framework that allows identifying which elements or configurations have crucial roles in preserving the diversity of the system. Existing methods treat the level of heterogeneity of a system as a measure of its diversity, being unsuitable when systems are composed of a large number of elements with different attributes and types of interactions. Besides, with limited resources, one needs to find the best preservation policy, i.e., one needs to solve an optimization problem. Here we aim to bridge this gap by developing a metric between labeled graphs to compute the diversity of the system, which allows identifying the most relevant components, based on their contribution to a global diversity value. The proposed framework is suitable for large multiplex structures, which are constituted by a set of elements represented as nodes, which have different types of interactions, represented as layers. The proposed method allows us to find, in a genetic network (HIV-1), the elements with the highest diversity values, while in a European airline network, we systematically identify the companies that maximize (and those that less compromise) the variety of options for routes connecting different airports. |
Subject: | Física Redes sociais HIV (Vírus) Aeronautica comercial |
language: | eng |
metadata.dc.publisher.country: | Brasil |
Publisher: | Universidade Federal de Minas Gerais |
Publisher Initials: | UFMG |
metadata.dc.publisher.department: | FCE - DEPARTAMENTO DE CIÊNCIAS ADMINISTRATIVAS ICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃO |
Rights: | Acesso Aberto |
metadata.dc.identifier.doi: | doi.org/10.1038/s41598-019-38869-0 |
URI: | http://hdl.handle.net/1843/58815 |
Issue Date: | 2019 |
metadata.dc.url.externa: | www.nature.com/scientificreports |
metadata.dc.relation.ispartof: | Scientific Reports |
Appears in Collections: | Artigo de Periódico |
Files in This Item:
File | Description | Size | Format | |
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Assessing diversity in multiplex.pdf | 3.52 MB | Adobe PDF | View/Open |
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