20421 6 109023 2 330197 document 109023 park-2025-optimizing-resilience-in-sports-science-through-an-integrated-random-network-structure-harnessing-the-power.pdf application/pdf 3827945b9d2d8a13ff1d7959445bb672 MD5 1686218 2025-02-24 08:54:09 https://pure.iiasa.ac.at/id/eprint/20421/1/park-2025-optimizing-resilience-in-sports-science-through-an-integrated-random-network-structure-harnessing-the-power.pdf 20421 1 1 application/pdf text en public cc_by_4

park-2025-optimizing-resilience-in-sports-science-through-an-integrated-random-network-structure-harnessing-the-power.pdf

published 109026 2 330213 document 109026 lightbox.jpg image/png 72abb404fa67f01d6c746b9a4f272d22 MD5 52580 2025-02-24 09:04:14 https://pure.iiasa.ac.at/id/eprint/20421/2/lightbox.jpg 20421 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/109023 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/109023 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/109023 109030 1 330217 document 109030 indexcodes.txt text/x-c 45158d108ffd40e476d66026055458a4 MD5 17377 2025-02-24 09:04:16 https://pure.iiasa.ac.at/id/eprint/20421/6/indexcodes.txt 20421 6 6 text/x-c other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/109023 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/109023 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/109023 archive 353 disk0/00/02/04/21 2025-02-24 08:56:25 2025-02-24 08:56:25 2025-02-24 08:56:25 article show Park C. 9021 pub prog_eep This study focuses on understanding risk-aversion behaviours in sports science by examining system dynamics and network structures. Various network models for real-world sports were analyzed, leading to the development of a comprehensive computational algorithm that captures the interactive properties of networked agents. This algorithm dynamically estimates the likelihood of systemic risk propagation while optimizing principles related to failure, reward, and social learning within the network. The findings suggest that despite the inherent risks in sports-centric network structures, the potential for protection can be enhanced through strategically developed, interconnected methods that emphasize appropriate investment. Strong social learning interactions were found to reduce the probability of failure, whereas weaker interactions resulted in a broader distribution of eigenvector centrality, increasing the risk of failure propagation. The study highlights key conceptual and methodological advancements in applying system dynamics to sports science. Furthermore, advanced agent-based network simulations offer deeper insights into the protective potential of interconnected management strategies, offering solutions to mitigate instability and cascading risks in sports. 2025-02-14 published doi:10.1177/21582440251316513 2940 public Sage Open 15 1 TRUE 2158-2440 no info:eu-repo/semantics/article