Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Andrea Zaccaria"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Leveraging the discrete skill and knowledge worker requirements of each occupation provided by O*NET, our empirical approach employs network-based tools from the Economic Complexity framework to characterize the US occupational network. This
Externí odkaz:
https://doaj.org/article/1c25d68c540a45048249681ce1f67649
Autor:
Saurabh Mishra, Robert Koopman, Giuditta De Prato, Anand Rao, Israel Osorio-Rodarte, Julie Kim, Nikola Spatafora, Keith Strier, Andrea Zaccaria
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract The growth in AI is rapidly transforming the structure of economic production. However, very little is known about how within-AI specialization may relate to broad-based economic diversification. This paper provides a data-driven framework t
Externí odkaz:
https://doaj.org/article/cd117c4b219d4926abbddf7ab79f0c05
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract Economic complexity methods, and in particular relatedness measures, lack a systematic evaluation and comparison framework. We argue that out-of-sample forecast exercises should play this role, and we compare various machine learning models
Externí odkaz:
https://doaj.org/article/e7f1af82f1a64730b1b46a6b192790d8
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract We study the empirical relationship between green technologies and industrial production at very fine-grained levels by employing Economic Complexity techniques. Firstly, we use patent data on green technology domains as a proxy for competit
Externí odkaz:
https://doaj.org/article/5f909dad83714faf9307fb606639f537
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-13 (2022)
Measurement(s) export flow of services and goods Technology Type(s) python routines
Externí odkaz:
https://doaj.org/article/18ad80afd66e4c389d4756a2b7918f25
Publikováno v:
Journal of Physics: Complexity, Vol 5, Iss 2, p 025003 (2024)
Tree-based machine learning algorithms provide the most precise assessment of the feasibility for a country to export a target product given its export basket. However, the high number of parameters involved prevents a straightforward interpretation
Externí odkaz:
https://doaj.org/article/3d0ab67b567643acb4528e85dfc48f14
Publikováno v:
Communications Physics, Vol 5, Iss 1, Pp 1-12 (2022)
The configuration model, in its various formulations, is a widely used null model for statistical validation of bipartite network projections. Here, the authors show that different formulations might bring to very different results, and propose a met
Externí odkaz:
https://doaj.org/article/043007a4d6ba4965b9157c21efe1ab40
Publikováno v:
PLoS ONE, Vol 18, Iss 4, p e0283217 (2023)
Mergers and Acquisitions represent important forms of business deals, both because of the volumes involved in the transactions and because of the role of the innovation activity of companies. Nevertheless, Economic Complexity methods have not been ap
Externí odkaz:
https://doaj.org/article/5fbad7b2cd054a508755b25dbe0368f0
Autor:
Giambattista Albora, Andrea Zaccaria
Publikováno v:
Complexity, Vol 2022 (2022)
The relatedness between a country or a firm and a product is a measure of the feasibility of that economic activity. As such, it is a driver for investments at a private and institutional level. Traditionally, relatedness is measured using networks d
Externí odkaz:
https://doaj.org/article/f0596408091144a193c6354c1735b8b7
Publikováno v:
Journal of Physics: Complexity, Vol 4, Iss 2, p 025011 (2023)
A key element to understand complex systems is the relationship between the spatial scale of investigation and the structure of the interrelation among its elements. When it comes to economic systems, it is now well-known that the country-product bip
Externí odkaz:
https://doaj.org/article/bf3ac87a462c4ef48c31f181af558acb