Graphs, Maps, Trees

Graphs, Maps, Trees
Author :
Publisher : Verso Books
Total Pages : 141
Release :
ISBN-10 : 9781789603316
ISBN-13 : 1789603315
Rating : 4/5 (315 Downloads)

Book Synopsis Graphs, Maps, Trees by : Franco Moretti

Download or read book Graphs, Maps, Trees written by Franco Moretti and published by Verso Books. This book was released on 2020-05-05 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this groundbreaking book, Franco Moretti argues that literature scholars should stop reading books and start counting, graphing, and mapping them instead. In place of the traditionally selective literary canon of a few hundred texts, Moretti offers charts, maps and time lines, developing the idea of "distant reading" into a full-blown experiment in literary historiography, in which the canon disappears into the larger literary system. Charting entire genres-the epistolary, the gothic, and the historical novel-as well as the literary output of countries such as Japan, Italy, Spain, and Nigeria, he shows how literary history looks significantly different from what is commonly supposed and how the concept of aesthetic form can be radically redefined.


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Graphs, Maps, Trees
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Pages: 141
Authors: Franco Moretti
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Type: BOOK - Published: 2020-05-05 - Publisher: Verso Books

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In this groundbreaking book, Franco Moretti argues that literature scholars should stop reading books and start counting, graphing, and mapping them instead. In
Graphs, Maps, Trees
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Authors: Franco Moretti
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In this groundbreaking book, Franco Moretti argues that literature scholars should stop reading books and start counting, graphing, and mapping them instead. In
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Categories: Literary Criticism
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A manifesto for a text-free literary scholarship.
Reading Graphs, Maps, and Trees
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Pages: 166
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Type: BOOK - Published: 2011-01-14 - Publisher: Parlor Press LLC

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Franco Morettiā€™s Graphs, Maps, Trees: Abstract Models for Literary History is one of the most provocative recent works of literary history. The present volume
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How does a literary historian end up thinking in terms of z-scores, principal component analysis, and clustering coefficients? The essays in Distant Reading led