Antonio Pedro Santos Alves, Lucas Gabriel Silva Félix, Carlos Magno Barbosa, Vitor Elisiário Carmo, Vinícius Da Fonseca Vieira, Carolina Ribeiro Xavier

World Cups Impact Analysis in the Soccer Players Transaction and Soccer Globalization using Complex Network Techniques

Introduction

World cups impact analysis in the soccer players transaction and soccer globalization using complex network techniques. Analyze World Cup impact on soccer player transfers & globalization using complex networks. Explore how tournaments affect player movement, new markets & team performance since 1966.

Abstract

In this work we propose an analysis of the world cup relationship with the transfer of soccer players and a quantitative evaluation of theories that associate globalization with this player transfer market. For this analysis, networks are generated for periods that precede each world cup since 1966, and the effects of the event through the relation of the network of transfers and the best placed of each edition were evaluated. We also investigated sociological theories that associate globalization with the transfer network in soccer, being able to show through quantitative data the hypotheses raised, besides being able to renew these proposals showing the rise of new markets, such as those from Asia. In order to carry out the analyzes, complex networks and data mining techniques were combined and this evaluation showed that countries that do many transactions do not necessarily perform well in the world cups. However, part of the countries involved with a large number of transfers can have a good performance, finishing the event in good positions.

Review

This paper proposes a compelling quantitative analysis exploring the multifaceted relationship between FIFA World Cups, the global soccer player transfer market, and broader theories of globalization. Employing a sophisticated combination of complex network analysis and data mining techniques, the authors generate and evaluate player transfer networks for periods preceding each World Cup since 1966. This innovative approach aims to shed light on both the immediate impact of major sporting events on player movement and the long-term structural shifts within professional soccer, offering a fresh, data-driven perspective on these interconnected phenomena. A core strength of the research lies in its ambition to provide quantitative validation for sociological theories that link globalization to player transfers. The abstract specifically highlights the ability to not only support existing hypotheses but also to renew them by demonstrating the rise of new markets, such as those from Asia. Through their network analysis, the authors also present an intriguing finding regarding the correlation between high transaction volume and World Cup performance: while extensive transfer activity doesn't necessarily guarantee success, a subset of highly transactional nations can indeed achieve strong results. This nuanced outcome suggests a complex interplay of factors that the network methodology is well-positioned to investigate. While the abstract provides a strong overview of the study's objectives and key findings, a more detailed exposition in the full paper on the specific complex network metrics utilized and the precise definition and measurement of "best placed" or "good performance" would significantly enhance clarity and reproducibility. Furthermore, detailing the nature of the network nodes (e.g., players, clubs, countries) and edges (e.g., transfers, loan deals) would provide crucial context for understanding the analytical framework. Nevertheless, this research represents a valuable contribution to the fields of sports economics, network science, and globalization studies, offering robust quantitative insights into the evolving landscape of global soccer, with particular merit in its data-driven renewal of sociological theories.

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