Day 2

Day #2 is going to build on the results of yesterday, but we are actually going to analyze the network that we built in workshop #1. Also, I expect there will be a good deal more time available for discussion and questions.

The slides for Day #2 can be found here:

We will start with the network we made with attributes. We don’t need to build the nework from scratch, instead I took the network we had and stored it as a .RDS file. RDS is the native structure for R.

In workshop #2 we will be looking at centrality metrics and network properties of individual nodes. For workshop #2 to work out ok, here are the things you will need to be able to do, which we covered in workshop #1.

• Install and load the following packages:
  • tidyverse
  • tidygraph
  • ggraph
  • igraph
  • here
• Read in an R object.

Here are some readings on centrality as a set of connected metrics.

Centrality metrics - Borgatti, S. P. (2005). Centrality and network flow. Social networks, 27(1), 55-71. https://www.sciencedirect.com/science/article/abs/pii/S0378873304000693 - Koschützki, D., Lehmann, K. A., Tenfelde-Podehl, D., & Zlotowski, O. (2005). Advanced centrality concepts. In Network analysis (pp. 83-111). Springer, Berlin, Heidelberg. https://link.springer.com/chapter/10.1007/978-3-540-31955-9_5

This one sort of spans centrality and missing data: - Borgatti, S. P., Carley, K. M., & Krackhardt, D. (2006). On the robustness of centrality measures under conditions of imperfect data. Social networks, 28(2), 124-136. https://www.sciencedirect.com/science/article/abs/pii/S0378873305000353