Sturm, N. F., Candia, C., Damásio, B., & Pinheiro, F. L. (2025). High earnings through firm influence: the role of hierarchical structures in public procurement. EPJ Data Science, 14, 1-20. Article 27. https://doi.org/10.1140/epjds/s13688-025-00543-z --- The authors are thankful to Dominik Hartmann for his feedback and comments. BD and FLP acknowledge the financial support provided by FCT Portugal under the pro...
Sturm, N. F., Candia, C., Damásio, B., & Pinheiro, F. L. (2024). Relatedness Defines Firms’ Diversification Path and Tendering Success [poster]. 1. Poster session presented at Data Research Meetup by MagIC, Lisbon, Portugal. --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 (DOI: 10.54499/UIDB/04152/2020) - Centro de Investiga...
Pilatti, G., Candia, C., Montini, A., & Pinheiro, F. L. (2023). From Co-Location Patterns to an Informal Social Network of Gig Economy Workers. Applied Network Science, 8, 1-15. [77]. https://doi.org/10.21203/rs.3.rs-2742628/v1, https://doi.org/10.1007/s41109-023-00603-1---GP, AM, and FLP are very grateful for the suggestions given by the audience and peer review of the Complex Networks and Their Applications X...
Candia, C., Encarnação, S., & Pinheiro, F. L. (2019). The higher education space: connecting degree programs from individuals’ choices. EPJ Data Science, 8(1), [39]. https://doi.org/10.1140/epjds/s13688-019-0218-4; Data on the applicants’ revealed preferences when entering higher education is used as a proxy to build the Higher Education Space (HES) of Portugal (2008–2015) and Chile (2006–2017). The HES is a ne...