From Co-Location Patterns to an Informal Social Network of Gig Economy Workers
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/160258 |
Resumo: | Pilatti, G., Candia, C., Montini, A., & Pinheiro, F. L. (2023). From Co-Location Patterns to an Informal Social Network of Gig Economy Workers. Applied Network Science, 8, 1-15. [77]. https://doi.org/10.21203/rs.3.rs-2742628/v1, https://doi.org/10.1007/s41109-023-00603-1---GP, AM, and FLP are very grateful for the suggestions given by the audience and peer review of the Complex Networks and Their Applications XI conference, in which we were able to clarify some points and enrich the research. The authors are thankful to the food delivery platform for sharing the data for this study. The findings, interpretations, and conclusions expressed by the authors in this work do not necessarily reflect the views of the food delivery platform. FLP acknowledges the financial support provided by FCT Portugal under the project UIDB/04152/2020 – Centro de Investigação em Gestão de Informação (MagIC). |
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From Co-Location Patterns to an Informal Social Network of Gig Economy WorkersGig economyGPS dataBig DataCo-location social networkComplex networksGeneralComputer Networks and CommunicationsComputational MathematicsPilatti, G., Candia, C., Montini, A., & Pinheiro, F. L. (2023). From Co-Location Patterns to an Informal Social Network of Gig Economy Workers. Applied Network Science, 8, 1-15. [77]. https://doi.org/10.21203/rs.3.rs-2742628/v1, https://doi.org/10.1007/s41109-023-00603-1---GP, AM, and FLP are very grateful for the suggestions given by the audience and peer review of the Complex Networks and Their Applications XI conference, in which we were able to clarify some points and enrich the research. The authors are thankful to the food delivery platform for sharing the data for this study. The findings, interpretations, and conclusions expressed by the authors in this work do not necessarily reflect the views of the food delivery platform. FLP acknowledges the financial support provided by FCT Portugal under the project UIDB/04152/2020 – Centro de Investigação em Gestão de Informação (MagIC).The labor market has transformed with the advent of the gig economy, characterized by short-term and flexible work arrangements facilitated by online platforms. As this trend becomes increasingly prevalent, it presents unique opportunities and challenges. In this manuscript, we comprehensively characterize the social networks of gig economy workers in each of the 15 cities studied. Our analysis reveals a scaling relationship between networks and the city population. In particular, we note the high level of modularity of the networks, and we argue that it results from the natural specialization of couriers along different areas of the cities. Furthermore, we show that degree and betweenness centrality is positively correlated with income but not with tenure. Our findings shed new light on the social organization of the gig economy workers and provide valuable insights for the management and design of gig economy platforms.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNPilatti, GustavoCandia, CristianMontini, AlessandraPinheiro, Flávio L.2023-11-21T22:49:03Z2023-12-012023-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article15application/pdfhttp://hdl.handle.net/10362/160258eng2364-8228PURE: 76278867https://doi.org/10.21203/rs.3.rs-2742628/v1info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:42:50Zoai:run.unl.pt:10362/160258Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:56.292662Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
From Co-Location Patterns to an Informal Social Network of Gig Economy Workers |
title |
From Co-Location Patterns to an Informal Social Network of Gig Economy Workers |
spellingShingle |
From Co-Location Patterns to an Informal Social Network of Gig Economy Workers Pilatti, Gustavo Gig economy GPS data Big Data Co-location social network Complex networks General Computer Networks and Communications Computational Mathematics |
title_short |
From Co-Location Patterns to an Informal Social Network of Gig Economy Workers |
title_full |
From Co-Location Patterns to an Informal Social Network of Gig Economy Workers |
title_fullStr |
From Co-Location Patterns to an Informal Social Network of Gig Economy Workers |
title_full_unstemmed |
From Co-Location Patterns to an Informal Social Network of Gig Economy Workers |
title_sort |
From Co-Location Patterns to an Informal Social Network of Gig Economy Workers |
author |
Pilatti, Gustavo |
author_facet |
Pilatti, Gustavo Candia, Cristian Montini, Alessandra Pinheiro, Flávio L. |
author_role |
author |
author2 |
Candia, Cristian Montini, Alessandra Pinheiro, Flávio L. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School RUN |
dc.contributor.author.fl_str_mv |
Pilatti, Gustavo Candia, Cristian Montini, Alessandra Pinheiro, Flávio L. |
dc.subject.por.fl_str_mv |
Gig economy GPS data Big Data Co-location social network Complex networks General Computer Networks and Communications Computational Mathematics |
topic |
Gig economy GPS data Big Data Co-location social network Complex networks General Computer Networks and Communications Computational Mathematics |
description |
Pilatti, G., Candia, C., Montini, A., & Pinheiro, F. L. (2023). From Co-Location Patterns to an Informal Social Network of Gig Economy Workers. Applied Network Science, 8, 1-15. [77]. https://doi.org/10.21203/rs.3.rs-2742628/v1, https://doi.org/10.1007/s41109-023-00603-1---GP, AM, and FLP are very grateful for the suggestions given by the audience and peer review of the Complex Networks and Their Applications XI conference, in which we were able to clarify some points and enrich the research. The authors are thankful to the food delivery platform for sharing the data for this study. The findings, interpretations, and conclusions expressed by the authors in this work do not necessarily reflect the views of the food delivery platform. FLP acknowledges the financial support provided by FCT Portugal under the project UIDB/04152/2020 – Centro de Investigação em Gestão de Informação (MagIC). |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-11-21T22:49:03Z 2023-12-01 2023-12-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
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http://hdl.handle.net/10362/160258 |
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http://hdl.handle.net/10362/160258 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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2364-8228 PURE: 76278867 https://doi.org/10.21203/rs.3.rs-2742628/v1 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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15 application/pdf |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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