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Source: https://blog-affsbh4bl.mit-edu.top/post/1398540762

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  52.            "abstract": "Design and Validation of Interoperable NFT Standards in Multi-Game Networks #489898292629 (2025-02-06)",
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  93.                    <span class="d-block text-center">Joseph Lee</span>
  94.                    <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-06</span>
  95.                    <h2 class="heading text-center">Design and Validation of Interoperable NFT Standards in Multi-Game Networks</h2>
  96.                    <p class="lead mb-4 text-center">Thanks to Joseph Lee for contributing the article "Design and Validation of Interoperable NFT Standards in Multi-Game Networks".
  97.                    </p>
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  216.                                <a href="https://blog-4209638751.mit-edu.top/post/4209638751/" target="_blank">
  217.                                <span class="date">2025-02-06</span>
  218.                                </a>
  219.                            </div>
  220.                            <h2 class="heading"><a href="https://blog-affsbh4bl.mit-edu.top/post/4209638751">Measuring Social Connectivity in Online Game Communities Using Graph Analysis</a></h2>
  221.                            <p class="info">This paper explores the integration of artificial intelligence (AI) in mobile game design to enhance player experience through adaptive gameplay systems. The study focuses on how AI-driven algorithms adjust game difficulty, narrative progression, and player interaction based on individual player behavior, preferences, and skill levels. Drawing on theories of personalized learning, machine learning, and human-computer interaction, the research investigates the potential for AI to create more immersive and personalized gaming experiences. The paper also examines the ethical considerations of AI in games, particularly concerning data privacy, algorithmic bias, and the manipulation of player behavior.</p>
  222.                            <a href="https://blog-affsbh4bl.mit-edu.top/post/4209638751" class="post-author d-flex align-items-center">
  223.                                <div class="author-pic">
  224.                                    <img src="https://x.mit-edu.top/static/images/user/17.jpg" alt="Measuring Social Connectivity in Online Game Communities Using Graph Analysis" title="Measuring Social Connectivity in Online Game Communities Using Graph Analysis" class="lazyload">
  225.                                </div>
  226.                                <div class="text">
  227.                                    <strong>Carol Campbell</strong>
  228.                                    <span>2025-02-06 published post</span>
  229.                                </div>
  230.                            </a>
  231.                        </div>
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  237.                            <a href="https://blog-affsbh4bl.mit-edu.top/post/0157942368">
  238.                            <img src="https://x.mit-edu.top/static/images/post/16.jpg" alt="Federated AI Learning for Privacy-Preserving Multiplayer Gaming" title="Federated AI Learning for Privacy-Preserving Multiplayer Gaming" class="img-fluid lazyload">
  239.                            </a>
  240.                        </div>
  241.                        <div class="content">
  242.                            <div class="post-meta mb-3">
  243.                                <a href="https://blog-0157942368.mit-edu.top/post/0157942368/" target="_blank">
  244.                                <span class="date">2025-02-06</span>
  245.                                </a>
  246.                            </div>
  247.                            <h2 class="heading"><a href="https://blog-affsbh4bl.mit-edu.top/post/0157942368">Federated AI Learning for Privacy-Preserving Multiplayer Gaming</a></h2>
  248.                            <p class="info">This study applies social network analysis (SNA) to investigate the role of social influence and network dynamics in mobile gaming communities. It examines how social relationships, information flow, and peer-to-peer interactions within these communities shape player behavior, preferences, and engagement patterns. The research builds upon social learning theory and network theory to model the spread of gaming behaviors, including game adoption, in-game purchases, and the sharing of strategies and achievements. The study also explores how mobile games leverage social influence mechanisms, such as multiplayer collaboration and social rewards, to enhance player retention and lifetime value.</p>
  249.                            <a href="https://blog-affsbh4bl.mit-edu.top/post/0157942368" class="post-author d-flex align-items-center">
  250.                                <div class="author-pic">
  251.                                    <img src="https://x.mit-edu.top/static/images/user/18.jpg" alt="Federated AI Learning for Privacy-Preserving Multiplayer Gaming" title="Federated AI Learning for Privacy-Preserving Multiplayer Gaming" class="lazyload">
  252.                                </div>
  253.                                <div class="text">
  254.                                    <strong>Nancy Lewis</strong>
  255.                                    <span>2025-02-06 published post</span>
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