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In this volume, Matthew L. Jockers introduces readers to large-scale literary computing and the revolutionary potential of macroanalysis--a new approach to the study of the literary record designed for probing the digital-textual world as it exists today, in digital form and in large quantities. Using computational analysis to retrieve key words, phrases, and linguistic patterns across thousands of texts in digital libraries, researchers can draw conclusions based on quantifiable evidence regarding how literary trends are employed over time, across periods, within regions, or within demographic groups, as well as how cultural, historical, and societal linkages may bind individual authors, texts, and genres into an aggregate literary culture. Moving beyond the limitations of literary interpretation based on the close-reading of individual works, Jockers describes how this new method of studying large collections of digital material can help us to better understand and contextualize the individual works within those collections.This file was then imported into the open-source network-analysis software package Gephi (Bastian, Hemann, and Iacomy 2009). Networks ... When plotted, nodes with larger distances will spread out farther in the network diagram. Figure 9.2anbsp;...

Author:Matthew L. Jockers
Publisher:University of Illinois Press - 2013-03-15


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