Sampling variability and centrality score comparisons in archaeological network analysis: A case study of the San Pedro Valley, Arizona
Sampling variability and centrality score comparisons in archaeological network analysis: A case study of the San Pedro Valley, Arizona
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考古网络分析中的抽样变异性和中心性得分比较:亚利桑那州圣佩德罗谷的案例研究
DOI:
10.1016/j.jasrep.2023.104100
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Mills, Barbara J.
中科院分区:
文献类型:
--
作者:
Roberts, John M.;Dorshorst, Emily;Yin, Yi;Peeples, Matthew A.;Breiger, Ronald L.;Mills, Barbara J.
Archaeological network analysis often focuses on networks in which ties between sites reflect some sort of similarity, such as in artifact assemblages. Site centrality is often of interest, but an apparent difference in two sites’ centrality may not be meaningful once sampling variability is considered. We investigate bootstrap assessments of sampling variability in centrality scores of a set of late pre-Hispanic archaeological sites in the San Pedro Valley, U.S. Southwest, for which ceramic assemblage data can be transformed into networks of ceramic similarity. We considered a variety of bootstrap confidence intervals for site eigenvector centrality scores and the implications of these intervals for interpretation of the site’s structural importance. In analysis of the San Pedro Valley for CE 1300–1349, small differences among site centrality were not statistically distinguishable, but moderate to large differences were, with conclusions consistent across methods of constructing bootstrap confidence intervals. Similar patterns were evident when examining a broader region in which the Valley is located. It appears that substantive interpretation of site centrality differences often will be justified.
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DOI:
--
发表时间:
2013
期刊:
影响因子:
--
作者:
Matthew A. Peeples;John M. Roberts
通讯作者:
John M. Roberts
影响因子:
2.3
作者:
Hart, John P.;Engelbrecht, William
通讯作者:
Engelbrecht, William
影响因子:
2.8
作者:
M. K. Woodson
通讯作者:
M. K. Woodson
影响因子:
0.3
作者:
Eusebio Kino’s;Oscar Lewis;David Martínez;David Martinez;David Martinez;Haury;Lindsay;R. Gerald
通讯作者:
R. Gerald
DOI:
10.1073/pnas.1818346116
发表时间:
2019
期刊:
Proceedings of the National Academy of Sciences
影响因子:
--
作者:
Jacob Lulewicz
通讯作者:
Jacob Lulewicz