Exploring the Advantages of Digital Sports Using Multi-Domain Integration of the Internet of Things

Abstract

The convergence of IoT-enabled cross-domain integration has emerged as a transformative approach for advancing digital sports ecosystems. This study proposes an enhanced Markov clustering algorithm to address data heterogeneity across physical, informational, and social domains in sports digitization. Experimental validation on 30,000 datasets demonstrates a 0.44% improvement in recall rate compared to conventional Markov clustering (p<0.05), while maintaining computational efficiency through optimized iteration termination conditions. The framework provides actionable insights for constructing intelligent sports management systems, significantly enhancing real-time athlete monitoring and multi-domain resource coordination.