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

Author:

Pilatti Gustavo,Candia Cristian,Montini Alessandra,Pinheiro Flávio L.

Abstract

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.

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computer Networks and Communications,Multidisciplinary

Reference40 articles.

1. Candia C, Encarnação S, Pinheiro F (2019) The higher education space: connecting degree programs from individuals’ choices. EPJ Data Sci 8:39

2. Candia C, Maldonado-Trapp A, Lobos K, Peña F, Bruna C (2022) Disadvantaged students increase their academic performance through collective intelligence exposure in emergency remote learning due to covid 19. arXiv preprint arXiv:2203.05621

3. Cherry MA (2016) People analytics and invisible labor. Louis ULJ 61:1

4. Crandall DJ, Backstrom L, Cosley D, Suri S, Huttenlocher D, Kleinberg J (2010) Inferring social ties from geographic coincidences. Proc Natl Acad Sci 107(52):22436–22441

5. Davidson R (2007) Bootstrapping econometric models. Technical report, McGill University, Department of Economics

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