Gig Economy and Social Network Analysis: Topology of Inferred Network

Gustavo Pilatti; Flavio L. Pinheiro; Alessandra Montini

doi:10.1007/978-3-031-21131-7_37

Gig Economy and Social Network Analysis: Topology of Inferred Network

Gustavo Pilatti, Flavio L. Pinheiro, Alessandra Montini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

34 Downloads (Pure)

Abstract

Unparalleled advances in information technology have resulted in the virtualization of the workplace, as well as in a surge in non-traditional work arrangements based on short-term contracts (“gigs”). Work that is done remotely through online platforms may be hidden by technology. Thus, how could we possibly access information about the social network of workers? What are the business and social values hidden in workers’ underlying informal social networks? Here, we propose applying methods from complex network analysis to have an overview of data from a Brazilian food-delivery company. We present the steps used to make the inference of a social network that relates delivery men according to their co-location patterns. Hence, the obtained network offers a valuable framework to explore, in the future, questions related to the role of informal social networks in the spreading of innovations and the coordination of behaviors and business strategies.

Original language	English
Title of host publication	Complex Networks and Their Applications XI
Subtitle of host publication	Proceedings of The Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022
Editors	Hocine Cherif, Luis M. Rocha, Salvatore Micciche, Rosario Nunzio Mantegna, Chantal Cherif
Place of Publication	Cham, Switzerland
Publisher	Springer
Chapter	37
Pages	471-479
Number of pages	9
Volume	2
ISBN (Print)	9783031211300
DOIs	https://doi.org/10.1007/978-3-031-21131-7_37
Publication status	Published - 26 Jan 2023
Event	11th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2022). - Palermo, Italy Duration: 8 Nov 2022 → 10 Nov 2022 Conference number: 11 https://2022.complexnetworks.org/

Publication series

Name	Studies in Computational Intelligence
Volume	1078
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	11th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2022).
Country/Territory	Italy
City	Palermo
Period	8/11/22 → 10/11/22
Internet address	https://2022.complexnetworks.org/

Keywords

Informal social network
Complex network
Gig economy

Access to Document

10.1007/978-3-031-21131-7_37

Gig_Economy_and_Informal_Social_Networks_AAMAccepted author manuscript, 901 KBLicence: CC BY-NC

https://link.springer.com/10.1007/978-3-031-21131-7_37

Cite this

Pilatti, G., Pinheiro, F. L., & Montini, A. (2023). Gig Economy and Social Network Analysis: Topology of Inferred Network. In H. Cherif, L. M. Rocha, S. Micciche, R. N. Mantegna, & C. Cherif (Eds.), Complex Networks and Their Applications XI: Proceedings of The Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022 (Vol. 2, pp. 471-479). (Studies in Computational Intelligence; Vol. 1078). Springer. https://doi.org/10.1007/978-3-031-21131-7_37

Pilatti, Gustavo ; Pinheiro, Flavio L. ; Montini, Alessandra. / Gig Economy and Social Network Analysis : Topology of Inferred Network. Complex Networks and Their Applications XI: Proceedings of The Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022. editor / Hocine Cherif ; Luis M. Rocha ; Salvatore Micciche ; Rosario Nunzio Mantegna ; Chantal Cherif. Vol. 2 Cham, Switzerland : Springer, 2023. pp. 471-479 (Studies in Computational Intelligence).

@inproceedings{0ef98e43204c47b4b2aab5f928a3d038,

title = "Gig Economy and Social Network Analysis: Topology of Inferred Network",

abstract = "Unparalleled advances in information technology have resulted in the virtualization of the workplace, as well as in a surge in non-traditional work arrangements based on short-term contracts (“gigs”). Work that is done remotely through online platforms may be hidden by technology. Thus, how could we possibly access information about the social network of workers? What are the business and social values hidden in workers{\textquoteright} underlying informal social networks? Here, we propose applying methods from complex network analysis to have an overview of data from a Brazilian food-delivery company. We present the steps used to make the inference of a social network that relates delivery men according to their co-location patterns. Hence, the obtained network offers a valuable framework to explore, in the future, questions related to the role of informal social networks in the spreading of innovations and the coordination of behaviors and business strategies.",

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author = "Gustavo Pilatti and Pinheiro, {Flavio L.} and Alessandra Montini",

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Pilatti, G, Pinheiro, FL & Montini, A 2023, Gig Economy and Social Network Analysis: Topology of Inferred Network. in H Cherif, LM Rocha, S Micciche, RN Mantegna & C Cherif (eds), Complex Networks and Their Applications XI: Proceedings of The Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022. vol. 2, Studies in Computational Intelligence, vol. 1078, Springer, Cham, Switzerland, pp. 471-479, 11th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2022)., Palermo, Italy, 8/11/22. https://doi.org/10.1007/978-3-031-21131-7_37

Gig Economy and Social Network Analysis: Topology of Inferred Network. / Pilatti, Gustavo; Pinheiro, Flavio L.; Montini, Alessandra.
Complex Networks and Their Applications XI: Proceedings of The Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022. ed. / Hocine Cherif; Luis M. Rocha; Salvatore Micciche; Rosario Nunzio Mantegna; Chantal Cherif. Vol. 2 Cham, Switzerland: Springer, 2023. p. 471-479 (Studies in Computational Intelligence; Vol. 1078).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T2 - 11th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2022).

AU - Pilatti, Gustavo

AU - Pinheiro, Flavio L.

AU - Montini, Alessandra

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AB - Unparalleled advances in information technology have resulted in the virtualization of the workplace, as well as in a surge in non-traditional work arrangements based on short-term contracts (“gigs”). Work that is done remotely through online platforms may be hidden by technology. Thus, how could we possibly access information about the social network of workers? What are the business and social values hidden in workers’ underlying informal social networks? Here, we propose applying methods from complex network analysis to have an overview of data from a Brazilian food-delivery company. We present the steps used to make the inference of a social network that relates delivery men according to their co-location patterns. Hence, the obtained network offers a valuable framework to explore, in the future, questions related to the role of informal social networks in the spreading of innovations and the coordination of behaviors and business strategies.

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Pilatti G, Pinheiro FL, Montini A. Gig Economy and Social Network Analysis: Topology of Inferred Network. In Cherif H, Rocha LM, Micciche S, Mantegna RN, Cherif C, editors, Complex Networks and Their Applications XI: Proceedings of The Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022. Vol. 2. Cham, Switzerland: Springer. 2023. p. 471-479. (Studies in Computational Intelligence). doi: 10.1007/978-3-031-21131-7_37