From Co-Location Patterns to an Informal Social Network of Gig Economy Workers

Detalhes bibliográficos
Autor(a) principal: Pilatti, Gustavo
Data de Publicação: 2023
Outros Autores: Candia, Cristian, Montini, Alessandra, Pinheiro, Flávio L.
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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spelling 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
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