In network analysis, the shape of the network that you build, as well as what your graph looks like, and in general the results of the analysis, all depend on the matrix. Therefore, the way you structure the matrix is important.

In this second article in a series on the chronology of Early Iron Age Greece, Matthew looks at the different ways in which archaeologists and historians ascribe absolute or calendar dates to the relative chronology discussed in Part I.

In this article, the fourth in a series on network analysis, Arianna reviews three software applications that she has tried for her research. She will explain the reasons why she opted to use ORA.

Our understanding of the ancient world depends on its chronology – the order in which events happened and the time elapsed in between them. In this series of articles, Matthew will look at how the chronology of the Early Iron Age or “Dark Age” of Greece has been constructed, and new radiocarbon dates that suggest a radical revision of that chronology.

When studying networks, there are fundamental aspects that you need to consider and options that you need to weigh during the first steps of your analysis.

The first step when conducting network analysis is to select what material to include in your database and how to structure the data. Arianna explains how you would go about creating a database, and how your database impacts the analysis of the evidence.

The way we look at archaeological remains shape what we think about our past. In studying the Second Intermediate Period, a lesser-known part of Egyptian history, a new methodology has proven useful: network analysis.

On Reddit’s AskHistorians, someone asked how one goes about interpreting the evidence from figurative art, such as vase-paintings. We figured it would be good to share our response here, too.