Social Network Structure and New England Gravestone Style
Author(s): Jonathan Scholnick
Year: 2023
Summary
This is an abstract from the "SAA 2023: Individual Abstracts" session, at the 88th annual meeting of the Society for American Archaeology.
This paper examines the role of workshop organization in the emergence of shared stylistic conventions of Colonial-era Massachusetts gravestones. Deetz and Dethlefsen argued that changes in the stylistic motifs carved on New England gravestones show reflect changing attitudes towards death (1967), and that certain motifs diffuse through space and time (1965). A subset of these gravestones can be linked to individual carvers through historic records of payments and signatures carved on the stones. This study employs an archaeological network approach to analyze the decorative variation of carved gravestone motifs. Gravestone style can be analyzed at multiple scales, ranging from individual decorative elements to the motif. The social learning strategies of carvers can be identified using social network analysis techniques that were developed to identify subgroups or cliques. The results of the stylistic social network analysis are then compared with networks based on historic records of workshop co-membership and the geographic distances of these workshops, to examine underlying social learning processes that structure these network relations. These analyses have implications for the ways that geographic proximity and social network structure shape the spatial and temporal patterning of decorative styles that are widely recognized in archaeological typologies.
Cite this Record
Social Network Structure and New England Gravestone Style. Jonathan Scholnick. Presented at The 88th Annual Meeting of the Society for American Archaeology. 2023 ( tDAR id: 474674)
This Resource is Part of the Following Collections
Keywords
General
digital archaeology
•
Historic
•
Quantitative and Spatial Analysis
•
social network analysis
•
Style
Geographic Keywords
North America: Northeast and Midatlantic
Record Identifiers
Abstract Id(s): 36673.0