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Analysis of institutional authors

Novillo áAuthorBuldú J.m.Corresponding Author

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January 8, 2024
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Hybrid Gold

A multilayer network framework for soccer analysis

Publicated to:Chaos Solitons & Fractals. 178 114355- - 2024-01-01 178(), DOI: 10.1016/j.chaos.2023.114355

Authors: Novillo, Alvaro; Gong, Bingnan; Martinez, Johann H; Resta, Ricardo; del Campo, Roberto Lopez; Buldu, Javier M

Affiliations

Capital Univ Phys Educ & Sports, Inst Phys Educ & Training, Beijing, Peoples R China - Author
Complex Systems Group, Universidad Rey Juan Carlos, Móstoles, Madrid, Spain - Author
Complex Systems Group, Universidad Rey Juan Carlos, Móstoles, Madrid, Spain, Grupo Interdisciplinar de Sistemas Complejos (GISC), Spain - Author
Grp Interdisciplinar Sistemas Complejos GISC, Madrid, Spain - Author
Grupo Interdisciplinar de Sistemas Complejos (GISC), Spain - Author
Institute of Physical Education and Training, Capital University of Physical Education and Sports, China - Author
Interdisciplinary Mathematics Institute, Department Mathematical Analysis & Applied Mathematics, Universidad Complutense, Madrid, Spain - Author
Mediacoach LaLiga, Madrid, Spain - Author
Mediacoach, LaLiga, Madrid, Spain - Author
Univ Complutense, Interdisciplinary Math Inst, Dept Math Anal & Appl Math, Madrid, Spain - Author
Univ Rey Juan Carlos, Complex Syst Grp, Madrid, Spain - Author
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Abstract

In this paper, we define a novel methodology for analyzing soccer matches and teams using spatial multilayer networks. Departing from a segmentation of the pitch into h×v regions, we create 2-layer networks that capture the exchange of ball possessions between teams throughout a match. To assess the significance of each node, we employed eigenvector centrality measures within the constructed multilayer network. Furthermore, we introduce three additional metrics, namely the leakage, recovery and switching factor, which quantify the possession transitions between layers. Finally, we apply our methodology to analyze the performance of Spanish soccer teams over an entire season, using the aforementioned multilayer parameters, and discuss the relation with the playing style and ranking of soccer teams. © 2023 The Author(s)

Keywords

eigenvector centralitymultilayer networksperformancesoccer passing networkssports analytics2 layerBall possessionEigenvalues and eigenfunctionsEigenvector centralitiesEigenvector centralityMulti-layer networkMultilayer networksMultilayersNetwork frameworksNetwork scienceNovel methodologySoccer analysisSoccer passing networkSoccer passing networksSoccer teamSport analyticSportsSports analytics

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Chaos Solitons & Fractals 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, 2024 there are still no calculated indicators, but in 2023, it was in position 1/61, thus managing to position itself as a Q1 (Primer Cuartil), in the category Physics, Mathematical. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-08-11:

  • WoS: 2
  • Scopus: 3

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 2025-08-11:

  • 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: 15.
  • 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: 15 (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: 17.85.
  • The number of mentions on the social network X (formerly Twitter): 25 (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.

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: China.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Novillo Correas, Álvaro) and Last Author (Martín Buldú, Javier).

the author responsible for correspondence tasks has been Martín Buldú, Javier.