Quantitative analysis of the effects of time-averaging on archaeological networks using three different archaeological datasets. 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.
Dries Daems,
Emily Coco,
Andrew Gillreath-Brown,
Danai Kafetzaki