The Invisible Threads of History: Exploring the Dynamics of Ancient Societies through Social Network Analysis
DOI:
https://doi.org/10.51349/veg.2025.1.16Keywords:
Models of adaptive cycles, Resilience theory, Adaptive cycles modelAbstract
magine the ancient world as a vibrant tapestry woven with countless threads of relationships among artifacts, individuals, and communities. Social Network Analysis (SNA) offers a lens through which we can explore these intricate connections, transforming static archaeological records into narratives of human interaction. This article gets deep into the application of SNA in archaeology, highlighting how this method allows us to map the hidden networks that shaped past societies. By employing advanced data analysis and visualization techniques, SNA provides powerful methods to uncover the complex web of interactions that influenced the development and transformation of ancient communities. The article not only introduces the theoretical foundations of SNA but also displays its practical applications, presenting a compelling case for its potential to revolutionize archaeological research. Through this tool, we gain new perspectives on the diffusion of artifacts, ideas, and cultural practices, enriching our understanding of human history.
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