The World as Seen from Venice (1205-1533) as a Case Study of Scalable Web-Based Automatic Narratives for Interactive Global Histories

A scalable, web-based approach to automatically generate interactive global historical narratives has been developed and tested using Venice's 13th-century world as a case study. This method overcomes challenges posed by unstructured historical data and the limitations of traditional machine-learning tools, enabling the identification of key periods, events, actors, and locations through time-resolved network analysis. By focusing on actions like war, trade, and treaties, researchers can extract meaningful narratives that support hypothesis testing across datasets. The approach paves the way for agent-based modeling to simulate counterfactual histories, offering deeper insights into historical development and its potential future trajectories.

NANETTI, A., & CHEONG, S. A. (2016). The World as Seen from Venice (1205-1533) as a Case Study of Scalable Web-Based Automatic Narratives for Interactive Global Histories. The Asian Review of World Histories, 4(1), 3–34. https://doi.org/10.12773/arwh.2016.4.1.003