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Editor’s Choice: Is a Network Analysis of Cited Works Bound to be Biased?

By Jill Walker Rettberg | May 1, 2014

It’s much, much easier to see patterns and to make visualizations that make sense when you filter out all the messy bits. In my data set of creative works cited by dissertations on electronic literature between 2002 and 2013 the messy bits are all the works that are only cited once. The dissertations cite 467 different works, and 354 of these are only cited by one dissertation. If you’re doing a network analysis, the most interesting thing is works cited by several dissertations, and that’s what the images in my last post show. But of course that perspective might be missing out on important things – and perhaps this is especially important in an international, multi-lingual field like electronic literature.

Read the full post here.

This content was selected for Digital Humanities Now by Editor-in-Chief Benjamin Schneider based on nominations by Editors-at-Large Anu Paul, Elizabeth Goins, Chiara Bernardi, James O'Sullivan, Beth Secrist, Amy Williams, Angela Galvan, Aisha Clarke, Sayema Rawof, Sarah Canfield Fuller, Andrew Hyde, Souvenise St. Louis, Kevin McQueeney, and Rebecca Nesvet.