Understanding outside collaborations of the Chinese Academy of Sciences using Jensen-Shannon divergence

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.