Introduction I’ve been doing some work lately on social networks that exist between organisations or institutions. This is nice as it builds on some of my dissertation work, and I generally find it quite interesting. Networks that form between organisations are often quite powerful, in that they can illustrate where strong areas of like-minded work exist or where new connections might be useful in strengthing one organisation’s influence.
Why like me?
Why create a new dataset? I’d like to do a series of posts looking at social network analysis using primary data (i.e. data collected by yourself.). There are a lot of different examples of when you might want to use a survey to collect data for use in analysing social networks. But that’s for another time.
The purpose of this post is to create a new dataset that can be used in practising social network analysis in future posts.
Introduction This is the initial Deltanomics blog post. So, in this post, I’ll cover a few different approaches to analysis and data visualisation rather quickly that provides a good overview of the types of things covered in this blog.
Let’s start with loading the packages we’ll use. Also, let’s create a ggplot theme that allows us to easily make changes when we want.
## Libraries used in analysis library(tidyverse) library(magrittr) library(scales) library(RColorBrewer) library(janitor) library(ggraph) library(tidygraph) library(graphlayouts) library(flextable) ## a congruent theme throughout for plots post_theme <- function(.