Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40264
Title: The Effects of Time-Averaging on Archaeological Networks
Authors: Daems , Dries
Coco, Emily
Gillreath-Brown, Andrew
KAFETZAKI, Danai 
Issue Date: 2023
Publisher: SPRINGER
Source: JOURNAL OF ARCHAEOLOGICAL METHOD AND THEORY,
Status: Early view
Abstract: It is well recognized that time-averaging of archaeological deposits results in significant biases in interpretations of the archaeological record. In this study, we investigate the biases introduced by time-averaging in the study of social and economic networks from the archaeological record. Using three different archaeological network datasets, we combine network slices from multiple periods to mimic the effects of time-averaging to understand how the palimpsest nature of the archaeological record affects our interpretations of the network. The results of our analysis indicate that time-averaging reduces the fidelity of network interpretations compared to the non-time-averaged networks when analyzing network or node properties. Our results also showed that the effects of time-averaging are highly dependent on initial network structures. This makes it difficult to establish general rules for how to interpret time-averaged networks in archaeology. However, our study shows that it is of paramount importance that archaeologists are aware of these biases and evaluate the reliability of their data accordingly.
Notes: Daems, D (corresponding author), Katholieke Univ Leuven, Sagalassos Archaeol Res Project, Leuven, Belgium.; Daems, D (corresponding author), Vrije Univ Brussel, Multidisciplinary Archaeol Res Inst, Brussels, Belgium.
dries.daems@kuleuven.be
Keywords: Archaeology;Network science;Analytical biases;Archaeological networks
Document URI: http://hdl.handle.net/1942/40264
ISSN: 1072-5369
e-ISSN: 1573-7764
DOI: 10.1007/s10816-023-09608-7
ISI #: 000982387900001
Rights: The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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