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

Pilatti, G; Candia C.; Montini, A; Pinheiro F.L.

Keywords: complex networks, gps data, big data, Gig economy, Co-location social network

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.

Más información

Título según WOS: From co-location patterns to an informal social network of gig economy workers
Título según SCOPUS: From co-location patterns to an informal social network of gig economy workers
Título de la Revista: Applied Network Science
Volumen: 8
Número: 1
Editorial: Springer Science and Business Media Deutschland GmbH
Fecha de publicación: 2023
Idioma: English
DOI:

10.1007/s41109-023-00603-1

Notas: ISI, SCOPUS