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Collaboration network from 2010 to 2019

I have been trying to wrap my head around working with temporal networks — not just simple edge activation that changes over time but also evolving node attributes and nodes that may appear and disappear at random. What better way than to work with a small concrete example I’m already very familiar with?

Here is an update to a post I made, a little over a year ago, about my collaboration network. Each paper or project (blue) is connected to a collaborator (red). The size of the blue node is the cumulative citations that paper has received since publication to the current year (upper left).

An animation stepping one year at a time from 2010 to 2019. The main panel is the coauthor network: blue nodes are papers, sized by cumulative citations on a legend from 0 to 100, and red nodes are collaborators. Each year's additions appear and the picture fills in from a single paper to a dozen or so loosely joined clusters, most of them a paper at the centre with its coauthors around it. Five smaller panels advance in step: unique papers or projects to date, unique collaborators to date, citations received each year, citations accumulating per paper, and cumulative citations. All five rise throughout, steepening after about 2016.

Code available at this gist (note that it’s two files).