Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40264
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dc.contributor.authorDaems , Dries-
dc.contributor.authorCoco, Emily-
dc.contributor.authorGillreath-Brown, Andrew-
dc.contributor.authorKAFETZAKI, Danai-
dc.date.accessioned2023-06-01T13:47:29Z-
dc.date.available2023-06-01T13:47:29Z-
dc.date.issued2024-
dc.date.submitted2023-05-31T11:10:52Z-
dc.identifier.citationJOURNAL OF ARCHAEOLOGICAL METHOD AND THEORY, 31(2), p. 473-506-
dc.identifier.urihttp://hdl.handle.net/1942/40264-
dc.description.abstractIt 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.-
dc.description.sponsorshipDD was supported by the Academic Foundation Leuven to attend the Complex Systems Summer School in 2019 and by C1 funding (C14/17/025) from KU Leuven. EC and AG-B received no funding for conducting this study. DK received funding from the Research Foundation Flanders (G088319N). We are grateful to the organizers of Santa Fe Institute’s Complex Systems Summer School (class of 2019), where we frst discussed the ideas for this paper. We would also like to thank the many participants that we had discussions with and all the lecturers for CSSS 2019. More specifcally, we thank Jack Shawn, Kate Wootton, and Anshuman Swain for their collaboration and discussions on network metrics and time-averaging. Thanks to Archaeology Southwest and Matt Peeples for providing the Southwest Social Network (SWSN) Database 1.0 data used in this article. We thank Matt Peeples and one anonymous reviewer for their thoughtful comments and helpful suggestions. This work was also supported in part through the NYU IT High Performance Computing resources and services.-
dc.language.isoen-
dc.publisherSPRINGER-
dc.rightsThe Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023-
dc.subject.otherArchaeology-
dc.subject.otherNetwork science-
dc.subject.otherAnalytical biases-
dc.subject.otherArchaeological networks-
dc.titleThe Effects of Time-Averaging on Archaeological Networks-
dc.typeJournal Contribution-
dc.identifier.epage506-
dc.identifier.issue2-
dc.identifier.spage473-
dc.identifier.volume31-
local.bibliographicCitation.jcatA1-
dc.description.notesDaems, 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.-
dc.description.notesdries.daems@kuleuven.be-
local.publisher.placeONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1007/s10816-023-09608-7-
dc.identifier.isi000982387900001-
dc.contributor.orcidDaems, Dries/0000-0002-6444-9013-
local.provider.typewosris-
local.description.affiliation[Daems, Dries; Kafetzaki, Danai] Katholieke Univ Leuven, Sagalassos Archaeol Res Project, Leuven, Belgium.-
local.description.affiliation[Daems, Dries] Vrije Univ Brussel, Multidisciplinary Archaeol Res Inst, Brussels, Belgium.-
local.description.affiliation[Coco, Emily] NYU, Ctr Study Human Origins, Dept Anthropol, New York, NY USA.-
local.description.affiliation[Gillreath-Brown, Andrew] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA USA.-
local.description.affiliation[Gillreath-Brown, Andrew] Washington State Univ, Dept Anthropol, Seattle, WA USA.-
local.description.affiliation[Gillreath-Brown, Andrew] Max Planck Inst Geoanthropol, Dept Archaeol, Jena, Germany.-
local.description.affiliation[Kafetzaki, Danai] Hasselt Univ, Data Sci Inst, Ctr Stat, Diepenbeek, Belgium.-
local.uhasselt.internationalyes-
item.accessRightsRestricted Access-
item.fulltextWith Fulltext-
item.contributorDaems , Dries-
item.contributorCoco, Emily-
item.contributorGillreath-Brown, Andrew-
item.contributorKAFETZAKI, Danai-
item.fullcitationDaems , Dries; Coco, Emily; Gillreath-Brown, Andrew & KAFETZAKI, Danai (2024) The Effects of Time-Averaging on Archaeological Networks. In: JOURNAL OF ARCHAEOLOGICAL METHOD AND THEORY, 31(2), p. 473-506.-
item.validationecoom 2024-
crisitem.journal.issn1072-5369-
crisitem.journal.eissn1573-7764-
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