An alternative approach for reading historic urban landscapes through ANT via algorithms: The case of Bey's complex palace in Constantine, Algeria

This is a dataset repository for manuscript Titled: "An alternative approach for reading historic urban landscapes through ANT via algorithms: The case of Bey’s complex palace in Constantine, Algeria" Abstract Historic urban landscapes, despite their cultural significance, often face neglect, limiting their potential to increase the value of historical centers. Defined as a complex sociotechnical network that involves a variety of agencies incorporating material, immaterial, natural, and artificial elements, these landscapes present significant challenges for architects because of their layered and diverse components. Actornetwork theory (ANT) is used as a methodological and ontological framework to address this complexity. However, a notable research gap exists on the basis of the lack of clear representation and practical application of ANT to address the complexity of these historic urban landscapes. To bridge this gap, this study uses Bey’s palace as a case study to develop a comprehensive framework based on a digital mapping approach rooted in ANT.This framework traces, visualizes, and analyzes historic urban landscapes as intricate systems of agencies, leveraging graph theoretical algorithms and computational analysis tasks from network analysis tools to increase their effectiveness.This investigation is based on two key concepts: the actor/actant and the actornetwork. The research employedBruno Latour’s concepts of translation, agency, and the mapping controversies technique grounded ingraph-theoretic algorithm tasks to decipher the complexities of Bey’s palace system. The results identify seven clusters as actor networks and highlight the roles of key actors/actants, such as Ahmed Bey, decorative elements, courtyard gardens, and Moorish architecture. This methodological approach provides architects and urban planners with practical tools to better understand, analyze and preserve historic urban landscapes, enriching their cultural and historical value.  Keywords Urban landscape, historical centers, actornetwork theory, computational analysis, graph-theoretic algorithms, spatial agency.