Over at The Chronicle of Higher Education, Jennifer Howard has a great article about a new "Google Maps of scholarship" -- an algorithmic system for visualizing how different fields of inquiry are influencing each other. The system is being put together by Carl Bergstrom and Jevin West, biologists, and Martin Rowsall, a physicist. The goal, Bergstrom says, is to take the huge citation datasets hidden inside academic research repositories like JSTOR, and ask, "What are the important structures here?"
The emergence of neuroscience; image by Martin Rosvall and Carl T. Bergstrom, PLoS One.
Bergstrom and West are the originators of the Eigenfactor score, which is used to determine the importance of a scientific journal by looking at the journals that cite it -- a sort of Google PageRank for academic research. The Eigenfactor is useful, but it can't capture the large-scale relationships among whole fields of academic research. The team has developed new mapping techniques which, they say, are better at capturing connections and commonalities. Using those techniques, they can show -- as you can see in the image above -- how psychology, neurology, and molecular biology combined, only a few years ago, to make a distinct field called "neuroscience."
To a large degree, their goals are practical: they'll be debuting an "Eigenfactor recommends" feature this autumn. But, Howard points out, their work will almost certainly be useful to other sorts of scholars, too: "Historians of science, for instance, could have a field day with data and visualizations that help pinpoint the spread of certain ideas or the rise of a field like neuroscience." See more (including more images) at The Chronicle.
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