Also Plotly recently went the open-source route with this announcement:
Which makes it an invaluable tool in the developer tool-kit.
To get started they have a few walk-throughs for their API in R, Python and Matlab, but their’s and frankly a lot of other developer’s examples use the common Zachary’s Karate Club dataset. So I wanted to make use of one dataset I found intriguing on that list I linked to earlier. The one I chose was the Dolphin Social Network, which is the social network of a dolphin pod located off Doubtful Sound, in New Zealand. Interesting right?
Before I start I wanted to mention that Plot.ly expertly outlines the process in an example here.
Here are the packages needed:
library(igraph) library(plotly) library(plyr) library(curl)
The part that seems to deviate from a bit of the tutorial is my marker size, seen in the whole code chunk at the bottom, but highlighted here below.
I really enjoy the use of network maps especially in literature, which on the link I provided with the datasets there are a couple word association datasets that would be fun to mess with. I just wanted to put up a quick primer on these types of visualizations and I hope to be working with them more often in the future. So any input is welcome.