Thomas Lin Pedersen announces tidygraph, a tidyverse library for dealing with graphs and trees in R:

One of the simplest concepts when computing graph based values is that of

centrality, i.e. how central is a node or edge in the graph. As this

definition is inherently vague, a lot of different centrality scores exists that

all treat the concept ofcentrala bit different. One of the famous ones is

the pagerank algorithm that was powering Google Search in the beginning.`tidygraph`

currently has 11 different centrality measures and all of these are

prefixed with`centrality_*`

for easy discoverability. All of them returns a

numeric vector matching the nodes (or edges in the case of`centrality_edge_betweenness()`

).

This is a big project and is definitely interesting if you’re looking at analyzing graph data.

Kevin Feasel

2017-07-07

Graph, R