Network science to correlate COVID-19 and tourism indicators in Mexico

被引：0

作者：

Arenas-Resendiz, Tanya ^{[1
,2
,3
]}

Patino-Ortiz, Julian ^{[4
,5
]}

Martinez-Cruz, Miguel Angel ^{[4
,5
]}

Dorantes-Benavidez, Humberto ^{[6
,7
]}

Chavez-Pichardo, Mauricio ^{[8
,9
]}

机构：

[1] Univ Rosario Castellanos URC, Ingn Sistemas, Inst Politecn Nacl IPN, Cdmx, Mexico

[2] Univ Rosario Castellanos URC, Inst Politecn Nacl IPN, Cdmx, Mexico

[3] UNAM, Ctr Ciencias Complej C3, Cdmx, Mexico

[4] Inst Politecn Nacl ESIME, Cdmx, Mexico

[5] Inst Politecn Nacl ESIME, Ingn Sistemas, Zacatenco, Cdmx, Mexico

[6] Tecnol Nacl Mexico TecNM Tecnol Estudios Super Ori, Ciudad De Mexico, Mexico

[7] Tecnol Nacl Mexico TecNM Tecnol Estudios Super Ori, Ingn Sistemas, Ciudad De Mexico, Mexico

[8] Tecnol Estudios Super Oriente Estado Mexico TESOEM, Ciudad De Mexico, Estado De Mexic, Mexico

[9] Tecnol Estudios Super Oriente Estado Mex TESOEM, Ingn Sistemas, Ciudad De Mexico, Estado De Mexic, Mexico

来源：

AMAZONIA INVESTIGA | 2024年 / 13卷 / 76期

关键词：

Correlation; Data analysis; Network analysis; Systems engineering; Tourism; CONNECTOME;

D O I：

10.34069/AI/2024.76.04.1

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

In this paper we analyze tourism as complex system susceptible to external perturbations, like COVID-19 public health emergency. The research objective is to confirm pertinence of using transdisciplinary tools such as complexity approach and network analysis to understand and represent tourism occupancy dynamic. We used network science methodology to introduce an analysis that integrates two Mexican tourism industry indicators: Tourist Destinations occupancy rates and Hospitality -Gastronomy jobs; correlated with COVID-19 in Mexico pandemic indicator: Confirmed cases. The analysis results are based on centrality measures used to describe organizational patterns in tourism dynamic, besides we identified some generic properties of tourism occupancy distribution.

引用

页码：9 / 30

页数：22

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