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Like many kids of my generation growing up in India, I was an avid reader of Enid Blyton’s novels. Many of her books were written as a series (“The Famous Five,” “The Secret Seven” and “Five Find-Outers”) and I recall wondering if the lives of characters overlapped in any way. Did a character from one series ever run into one from another, for example? I recall wondering the same thing in later years about P.G. Wodehouse’s Blandings Castle and Jeeves series.

Today, in a world where communities real and imagined are digitally connected via platforms like Facebook, Instagram and Tumblr, we can reframe that question in terms of those common nodes (or friends) in those characters’ social networks.

As it turns out, network theory as an analytic technique, or what I’d call computational literary analysis, is not just a bona fide research endeavor. It’s also a great example of how computational thinking (CT) is truly a cross-disciplinary skill that can be weaved to enrich learning in any subject (not just math and science, as is sometimes the assumption). In an earlier article on computational thinking, I offered teasers of how CT could be integrated into language arts and social studies, in addition to math and science.

Here’s a detailed treatment of one of those examples, drawn from the work of Franco Moretti’s group on “Computational Criticism,” which is part of the broader Digital Humanities initiative at Stanford. (See this New York Times profile for more on the work of this group).