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A data-mining approach to the Parkour discipline

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Publication date20/06/2018
Host publication49th Scientific meeting of the Italian Statistical Society: Proceedings of SIS2018
Pages665-672
Number of pages8
<mark>Original language</mark>English

Abstract

Parkour is a relatively new discipline. As an uncommon nexus between
risk, resistance, and the philosophy of overcoming obstacles, it is continuously gaining interest and popularity. However, the “voice” of parkour practitioners has been explored only qualitatively, on small samples and from a phenomenological point of view. In this work, raw data from the official American Parkour forum (from 2005 to 2013) have been web-scraped and treated with the Meaning Extraction Method (MEM), a simple and flexible technique providing optimal dimension reduction and the identification of broader themes related to the parkour discipline, thus providing a broader vision of a phenomena which is configuring itself as a true life-style.