"Storing information and circulating it between individuals and groups is a critical behaviour that signals a tipping point in our evolutionary history. Such practices enabled the preservation and consolidation of knowledge over extended periods,…
Construction
"Our sample is constituted of two previously published datasets [1]: pottery decorative
techniques count data and bead-type association presence/absence data.
The Brainerd-Robinson (BR) coefficient of similarity [2–4] is commonly used in
archaeology [5–7] and more specifically for pairwise comparisons of count data. In this study,
we use a rescaled version of the BR [4,8,9], outputted in the interval [0, 1] (worksheet A in S2
Supplementary Information), to build the pottery decorative techniques similarity matrix. The
Jaccard similarity index [10,11] is another commonly used index in archaeology [1,12] , more
specifically for the pairwise comparison of presence/absence data. This index outputs results
in the interval [0, 1] (worksheet G in S2 Supplementary Information) [4,10,11,13] and was used
to build the personal ornaments similarity matrix. "
"All the statistics presented above were calculated in the R platform [19] using an adapted and
extended version of the code presented by Brughmans and Peeples [8,9,20]. All the statistics were
performed, except when indicated otherwise, using the threshold matrices. In the main body, for
brevity, we refer to the centralities without making reference to them being weighted, even though
all calculations were made as such. The code can be found in S1 Code."
See PDF attached to the Supplementary Material.