Using Jensen-Shannon divergence to measure differences in collaboration patterns with outside collaborators makes it possible to understand the structure of those collaborations without direct
information about how they collaborate with each other. Applying the approach to data on the outside collaborations of the Chinese Academy of Sciences and visualizing the results reveals interesting structure relevant for science policy decisions.
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