Exercise

# Plotting important vertices

Lastly, we'll visualize the graph with the size of the vertex corresponding to centrality. However, we already know the graph is highly skewed, so there will likely be a lot of visual noise. So next, we'll want to look at how connected the most central vertices are. We can do this by creating a subgraph based on centrality criteria. This is an important technique when dealing with large graphs. Later, we'll look at alternative visualization methods, but another powerful technique is visualizing subgraphs.

The graph, `retweet_graph`

, its vertex betweenness, `retweet_btw`

, and the 0.99 betweenness quantile, `betweenness_q99`

are available.

Instructions 1/2

**undefined XP**

- Transform
`retweet_btw`

by adding`2`

then taking the natural`log()`

. - Set the size attribute of the vertices,
`V()$size`

, of`retweet_graph`

to`transformed_btw`

. - Plot
`retweet_graph`

. Some arguments have been set to improve the appearance.