<!doctype html><html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en" prefix="og: http://ogp.me/ns#"> <head> <meta charset="utf-8"> <meta name="applicable-device" content="pc,mobile"> <meta name="viewport" content="width=device-width, initial-scale=1"> <title>Anomaly Detection in Mobile Game Transactions Using Graph Neural Networks #802864738677 (2025-01-31)</title> <link rel="canonical" href="https://blog-0198524763.mit-edu.top/post/0198524763"> <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Poppins:wght@400;700&display=swap"> <link rel="stylesheet" href="https://x.mit-edu.top/static/css/style.css"> <script src="https://x.mit-edu.top/static/js/lazysizes.min.js" async></script> <link rel="shortcut icon" href="/favicon.ico"> <!-- Open Graph Metadata --> <meta property="og:type" content="article" /> <meta property="og:title" content="Anomaly Detection in Mobile Game Transactions Using Graph Neural Networks" /> <meta property="og:description" content="Anomaly Detection in Mobile Game Transactions Using Graph Neural Networks #802864738677 (2025-01-31)" /> <meta property="og:url" content="https://blog-0198524763.mit-edu.top/post/0198524763" /> <meta property="og:site_name" content="mit-edu.top" /> <meta property="og:image" content="https://x.mit-edu.top/static/images/post/6.jpg" /> <meta property="og:article:published_time" content="2025-01-31T09:44:46Z" /> <meta property="og:article:author" content="Dr. Samuel Jenkins" /> <meta property="og:article:section" content="mit-edu.top" /> <meta property="og:article:tag" content="Games, Mobile Games, Video Games" /> <!-- Schema.org --> <script type="application/ld+json">{ "@context": "https://schema.org", "@type": "ScholarlyArticle", "headline": "Anomaly Detection in Mobile Game Transactions Using Graph Neural Networks #802864738677 (2025-01-31)", "author": { "@type": "Person", "name": "Dr. Samuel Jenkins", "affiliation": { "@type": "Organization", "name": "mit-edu.top" }, "url": "https://blog-0198524763.mit-edu.top/post/0198524763" }, "datePublished": "2025-01-31T09:44:46Z", "image": "https://x.mit-edu.top/static/images/post/6.jpg", "journal": { "@type": "Periodical", "name": "mit-edu.top", "issn": "10.1069/802864738677" }, "publisher": { "@type": "Organization", "name": "mit-edu.top", "url": "https://blog-0198524763.mit-edu.top" }, "doi": "802864738677", "abstract": "Anomaly Detection in Mobile Game Transactions Using Graph Neural Networks #802864738677 (2025-01-31)", "citation": { "@type": "CreativeWork", "name": "Anomaly Detection in Mobile Game Transactions Using Graph Neural Networks", "author": "Dr. Samuel Jenkins", "datePublished": "2025-01-31T09:44:46Z", "url": "https://blog-0198524763.mit-edu.top/post/0198524763" } } </script></head> <body> <div class="site-mobile-menu site-navbar-target"> <div class="site-mobile-menu-header"> <div class="site-mobile-menu-close"> <span class="icofont-close js-menu-toggle"></span> </div> </div> <div class="site-mobile-menu-body"></div> </div> <nav class="site-nav"> <div class="container"> <div class="site-navigation"> <div class="row"> <div class="col-md-6 text-center order-1 order-md-2 mb-3 mb-md-0"> <a href="https://blog-0198524763.mit-edu.top" class="logo m-0 text-uppercase">mit-edu.top</a> </div> <div class="col-md-3 order-3 order-md-1"> </div> </div> </div> </div> </nav> <div class="section post-section pt-5"> <div class="container"> <div class="row justify-content-center"> <div class="col-lg-8"> <div class="text-center"> <img src="https://x.mit-edu.top/static/images/user/20.jpg" alt="Anomaly Detection in Mobile Game Transactions Using Graph Neural Networks" title="Anomaly Detection in Mobile Game Transactions Using Graph Neural Networks" class="author-pic img-fluid rounded-circle mx-auto"> </div> <span class="d-block text-center">Samuel Jenkins</span> <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-01-31</span> <h2 class="heading text-center">Anomaly Detection in Mobile Game Transactions Using Graph Neural Networks</h2> <p class="lead mb-4 text-center">Thanks to Samuel Jenkins for contributing the article "Anomaly Detection in Mobile Game Transactions Using Graph Neural Networks". </p> <img src="https://x.mit-edu.top/static/images/post/6.jpg" alt="Anomaly Detection in Mobile Game Transactions Using Graph Neural Networks" title="Anomaly Detection in Mobile Game Transactions Using Graph Neural Networks" class="img-fluid rounded mb-4 lazyload"> <p>This paper investigates how different motivational theories, such as self-determination theory (SDT) and the theory of planned behavior (TPB), are applied to mobile health games that aim to promote positive behavioral changes in health-related practices. The study compares various mobile health games and their design elements, including rewards, goal-setting, and social support mechanisms, to evaluate how these elements align with motivational frameworks and influence long-term health behavior change. The paper provides recommendations for designers on how to integrate motivational theory into mobile health games to maximize user engagement, retention, and sustained behavioral modification.</p><p>This paper explores the increasing integration of social media features in mobile games, such as in-game sharing, leaderboards, and social network connectivity. It examines how these features influence player behavior, community engagement, and the overall gaming experience. The research also discusses the benefits and challenges of incorporating social elements into games, particularly in terms of user privacy, data sharing, and online safety.</p><p>This study examines the ethical implications of data collection practices in mobile games, focusing on how player data is used to personalize experiences, target advertisements, and influence in-game purchases. The research investigates the risks associated with data privacy violations, surveillance, and the exploitation of vulnerable players, particularly minors and those with addictive tendencies. By drawing on ethical frameworks from information technology ethics, the paper discusses the ethical responsibilities of game developers in balancing data-driven business models with player privacy. It also proposes guidelines for designing mobile games that prioritize user consent, transparency, and data protection.</p><p>This study examines how mobile games can contribute to the development of smart cities, focusing on the integration of gaming technologies with urban planning, sustainability initiatives, and civic engagement efforts. The paper investigates the potential of mobile games to facilitate smart city initiatives, such as crowd-sourced data collection, environmental monitoring, and social participation. By exploring the intersection of gaming, urban studies, and IoT, the research discusses how mobile games can play a role in addressing contemporary challenges in urban sustainability, mobility, and governance.</p><p>This study investigates how mobile games can encourage physical activity among players, focusing on games that incorporate movement and exercise. 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