What we’re reading – and how it ties us together

Michael Levy of the Center for Environmental Policy and Behavior at UC Davis created a bipartite network of using his coworkers and their preferred journals to illustrate the functional clusters within the highly interdisciplinary lab. He then converted the visualization into a single mode network using ggnet – a ggplot implementation (via the GGally package) and calculated degree, betweenness, and eigenvector centrality for each journal for a more detailed picture of the overlapping interests within his community. He provides his r code for anyone who wants to apply try the excersize with their own lab.

Check out Michael Levy’s blog to read more and play with his code : http://environmentalpolicy.ucdavis.edu/blog/2015/03/386

CEPB's Journal Network

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