This article demonstrates the analytical potential of graph theory for understanding mortuary practices in past societies. We take advantage of social network analysis software PAJEK to model relationships among burials.
The case study of the Early Bronze Age cemetery Rebevsovice (Czech Republic) is used to explore the potential of the network approach to explain the contrast between the center and the periphery of the cemetery. Two hypotheses are proposed to explain this contrast: Chronological and social.
The first hypothesis explains the difference between the center and the periphery as an effect of social standing, while the latter as an effect of time. The data set includes archaeological and biological data from 72 burials.
We calculate simple matching distance matrices as a measure of dissimilarity among the burials based on socially and chronologically significant variables and Euclidean matrix as a measure of spatial proximity among pairs of graves. We project the results into geographic space and compare the patterns with the expectations derived from the two research hypotheses.
The evaluation of results allows us to reject both hypotheses and formulate a new model of spatial organization based on a few contemporary subsections of the cemetery used by different corporate groups. Finally, the potential of computer-aided modeling of matrices and graphs is discussed in context of other analytical techniques used for the investigation of intracemetery mortuary variability.