Cross-domain analysis: Convergence of social networks, cloud computing, and internet of things

The rapid convergence of social networks, cloud computing, and the Internet of Things (IoT) domains is redefining the scope and functionality of the digital environment. While these technologies have transformed various industries individually, their convergence presents new opportunities and challenges. However, the interdisciplinary integration of these domains remains underexplored, with existing surveys often focusing on isolated technologies rather than their synergistic potential. This gap limits our understanding of how combined architectures can address complex real-world problems such as scalability, interoperability, and security in integrated systems. This survey aims to bridge the knowledge gap by systematically examining the interactions of Social-IoT-Cloud, highlighting their synergies, and identifying key areas for further research. The study delves into the transformative convergence potential of these domains. We have extensively reviewed existing literature, convergence architectures, case studies, and practical applications. This study explains the foundational components and methodologies that drive the convergence of these domains. The presented work examines how this convergence reshapes various aspects of our interconnected world, including communication paradigms, data management strategies, and user experiences. A novel architecture for intelligent health monitoring systems is also presented, highlighting the potential of cross-domain analysis. This integrated ecosystem enables innovation across diverse areas, including healthcare, environmental monitoring, transportation, and smart cities. The manuscript also addresses privacy concerns, challenges, and future directions associated with cross-domain integration. Thus, the work offers valuable insights for researchers and policymakers to understand the complexities and implications of cross-domain integration. It provides a road map for leveraging the transformation potential of these interconnected domains.