In this series, Arianna Sacco writes about her research. Her research focuses on the Second Intermediate Period in ancient Egypt. In these articles, Arianna devotes particular attention to her approach to studying this period, which makes extensive use of network analysis.
The fourth and last of the most common measures used in network analysis is the eigenvector centrality. In this article, you will discover its meaning, how to make use of it and how to calculate it.
The third one of the most common measures used in network analysis is the closeness centrality. In this article, you will discover how to make use of it and how you can calculate it mathematically.
One of the most common measures used in network analysis is betweenness centrality. In this article, you will learn how to make use of it and which algorithms are used to calculate it.
In order to get a good understanding of the inner workings of network analysis, you need to get familiar with the mathematical algorithms that are used to generate the networks.
Continuing her series on network analysis, Arianna explains how graphs are not only tools to use in your research, but also powerful instruments to show your results to others. She explains how you can manipulate your graphs to present information.
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 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.
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.