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This work was supported by Ministry of Economy and Competitiveness of Spain (research project MTM2015-63914-P).

Analysis of institutional authors

Galeano, JavierAuthor

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December 24, 2019
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Article

A stochastic generative model of the World Trade Network

Publicated to:Scientific Reports. 9 (18539): 18539- - 2019-12-06 9(18539), DOI: 10.1038/s41598-019-54979-1

Authors: Garcia-Algarra, Javier; Luz Mouronte-Lopez, Mary; Galeano, Javier

Affiliations

Ctr Univ Tecnol & Arte Digital, Dept Engn - Author
Univ Francisco de Vitoria, Higher Polytech Sch - Author
Univ Politecn Madrid, Complex Syst Grp - Author

Abstract

The World Trade Network (WTN) is a network of exchange flows among countries whose topological and statistical properties are a valuable source of information. Degree and strength (weighted degree) are key magnitudes to understand its structure and generative mechanisms. In this work, we describe a stochastic model that yields synthetic networks that closely mimic the properties of annual empirical data. The model combines two popular mechanisms of network generation: preferential attachment and multiplicative process. Agreement between empirical and synthetic networks is checked using the available series from 1962 to 2017.

Keywords

ArchitectureGrowthInternational-tradeLaws

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Scientific Reports due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2019, it was in position 17/71, thus managing to position itself as a Q1 (Primer Cuartil), in the category Multidisciplinary Sciences.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 2.2, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jul 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-24, the following number of citations:

  • WoS: 8
  • Scopus: 7
  • Google Scholar: 14

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-24:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 24.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 23 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 8.5.
  • The number of mentions on the social network X (formerly Twitter): 12 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/86293/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 94
  • Downloads: 8

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (GALEANO PRIETO, JAVIER RICARDO).