The two types of society: Computationally revealing recurrent social formations and their evolutionary trajectories.

ABSTRACT: Comparative social science has a long history of attempts to classify societies and cultures in terms of shared characteristics. However, only recently has it become feasible to conduct quantitative analysis of large historical datasets to mathematically approach the study of social complexity and classify shared societal characteristics. Such methods have the potential to identify recurrent social formations in human societies and contribute to social evolutionary theory. However, in order to achieve this potential, repeated studies are needed to assess the robustness of results to changing methods and data sets. Using an improved derivative of the Seshat: Global History Databank, we perform a clustering analysis of 271 past societies from sampling points across the globe to study plausib

SUBMITTER: Miranda L 

PROVIDER: S-EPMC7219743 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature