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From co-location patterns to an informal social network of gig economy workers

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dc.contributor.authorPilatti, Gustavo
dc.contributor.authorCandia, Cristian
dc.contributor.authorMontini, Alessandra
dc.contributor.authorPinheiro, Flávio L.
dc.date.accessioned2024-04-17T20:51:04Z
dc.date.available2024-04-17T20:51:04Z
dc.date.issued2023
dc.description.abstractThe 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.
dc.description.sponsorshipFundação para a Ciência e a Tecnologia
dc.description.versionVersión publicada
dc.format.extent15 p.
dc.identifier.citationPilatti, G., Candia, C., Montini, A. et al. From co-location patterns to an informal social network of gig economy workers. Appl Netw Sci 8, 77 (2023)
dc.identifier.doi10.1007/s41109-023-00603-1
dc.identifier.issn2364-8228
dc.identifier.urihttps://hdl.handle.net/11447/8646
dc.language.isoen
dc.relation.projectFCT: UIDB/04152/2020
dc.rightsAtribución-NoComercial-CompartirIgual 3.0 Chile (CC BY-NC-SA 3.0 CL)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/cl/
dc.subjectGig economy
dc.subjectGPS data
dc.subjectBig data
dc.subjectCo-location social network
dc.subjectComplex networks
dc.titleFrom co-location patterns to an informal social network of gig economy workers
dc.typeArticle
dcterms.accessRightsAcceso abierto
dcterms.sourceApplied Network Science
dspace.entity.typePublication

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