Return to search

Shifting north| Social network analysis and the pithouse-to-pueblo transition in the Mogollon Highlands

<p> This study uses Social Network Analysis to examine the changing social networks of the Mogollon Highlands during the pithouse-to-pueblo transition. Social Network Analysis is a set of formal methods used to define and examine ties, or relationships between actors, or in the case of this study, archaeological sites. The pithouse-to-pueblo transition in the Mogollon Highlands occurred around A.D. 1000 and is characterized by the construction of above ground masonry architecture and a prevalence of Cibola White Wares. Prior to the transition to pueblo architecture, populations in the Mogollon Highlands lived in pithouses and Mimbres White Wares dominated the decorated ceramic assemblages of sites throughout the region. By defining and creating ties between archaeological sites based upon proportions of decorated wares, Social Network Analysis allows for the hypothesized networks of the Mogollon Highlands to be represented graphically and examined further statistically. </p><p> The Social Network Analysis is conducted for 50 year intervals for the period of A.D. 700-1150 in order to examine changes in the networks over time. The graphic representations of the social networks are then georeferenced in order to compare social and spatial relationships. Measurements of centrality are calculated in order to examine and identify the central nodes, or sites, within the networks. The social networks can then be contextualized through an understanding of substantive and formalist economics, and ceramic production and exchange in order to draw conclusions regarding the changing networks and their relationship to the transition to above ground pueblo architecture. </p>

Identiferoai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:1595268
Date11 September 2015
CreatorsLewandowski, David L.
PublisherNorthern Arizona University
Source SetsProQuest.com
LanguageEnglish
Detected LanguageEnglish
Typethesis

Page generated in 0.0016 seconds