From co-location patterns to an informal social network of gig economy workers
Abstract 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 comprehensiv...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-11-01
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| Series: | Applied Network Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s41109-023-00603-1 |
| _version_ | 1797630389680865280 |
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| author | Gustavo Pilatti Cristian Candia Alessandra Montini Flávio L. Pinheiro |
| author_facet | Gustavo Pilatti Cristian Candia Alessandra Montini Flávio L. Pinheiro |
| author_sort | Gustavo Pilatti |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-11T11:06:38Z |
| format | Article |
| id | doaj.art-7a5a5dc982df4cbabd3d49f8152cba8c |
| institution | Directory Open Access Journal |
| issn | 2364-8228 |
| language | English |
| last_indexed | 2024-03-11T11:06:38Z |
| publishDate | 2023-11-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Applied Network Science |
| spelling | doaj.art-7a5a5dc982df4cbabd3d49f8152cba8c2023-11-12T12:10:06ZengSpringerOpenApplied Network Science2364-82282023-11-018111510.1007/s41109-023-00603-1From co-location patterns to an informal social network of gig economy workersGustavo Pilatti0Cristian Candia1Alessandra Montini2Flávio L. Pinheiro3Faculdade de Economia, Administração e Contabilidade, Universidade de São PauloComputational Research in Social Science Laboratory, School of Engineering and School of Government, Universidad del DesarrolloFaculdade de Economia, Administração e Contabilidade, Universidade de São PauloNOVA Information Management School (NOVA IMS), Universidade Nova de LisboaAbstract 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.https://doi.org/10.1007/s41109-023-00603-1Gig economyGPS dataBig dataCo-location social networkComplex networks |
| spellingShingle | Gustavo Pilatti Cristian Candia Alessandra Montini Flávio L. Pinheiro From co-location patterns to an informal social network of gig economy workers Applied Network Science Gig economy GPS data Big data Co-location social network Complex networks |
| title | 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_short | 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 |
| topic | Gig economy GPS data Big data Co-location social network Complex networks |
| url | https://doi.org/10.1007/s41109-023-00603-1 |
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