The SpIBDer-verse is a collection of methods for analysing and visualising IBD networks. Methods are called "modules", and are added as separate tabs in the app. We have implemented the modules in an R Shiny app, so that no R scripts are required for running an analysis.
Currently, the SpIBDer-App can use the following modules:
Currently, the SpIBDer-App can use the following modules:
- Visualising/exploring networks in:
a: Network space.
b: Geographic space. - Calculating measures of centrality on an individual or variable-grouped level.
- Producing heatmaps of connectivity on variable-grouped level (the so-called Ringbauer plot).
- Using ERGMs to perform network regression, identifying variables that are correlated with network structure.
Modules that are in development are:
- Clustering using community detection.
- SpIBDer-crawl. This is the way we explore our data in-house, by setting a seed group of individuals, and then exploring the sub graph containing these individuals.
If you decide to try out the SpIBDer-App, please feel free to give us feedback (at the contact details at the end of the linked vignette below).
Work with my colleagues: