Semantic Understanding of Player Actions in Open-World Mobile Games Through Graph Neural Networks
Kevin Stewart 2025-02-08

Semantic Understanding of Player Actions in Open-World Mobile Games Through Graph Neural Networks

Thanks to Kevin Stewart for contributing the article "Semantic Understanding of Player Actions in Open-World Mobile Games Through Graph Neural Networks".

Semantic Understanding of Player Actions in Open-World Mobile Games Through Graph Neural Networks

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This study examines the sustainability of in-game economies in mobile games, focusing on virtual currencies, trade systems, and item marketplaces. The research explores how virtual economies are structured and how players interact with them, analyzing the balance between supply and demand, currency inflation, and the regulation of in-game resources. Drawing on economic theories of market dynamics and behavioral economics, the paper investigates how in-game economic systems influence player spending, engagement, and decision-making. The study also evaluates the role of developers in maintaining a stable virtual economy and mitigating issues such as inflation, pay-to-win mechanics, and market manipulation. The research provides recommendations for developers to create more sustainable and player-friendly in-game economies.

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