Data Visualization in Enlightenment Literature and Culture [Hardcover]

Data Visualization in Enlightenment Literature and Culture explores the new interpretive possibilities offered by using data visualization in eighteenth-century studies. Such visualizations include tabulations, charts, k-means clustering, topic modeling, network graphs, data mapping, and/or other illustrations of patterns of social or intellectual exchange. The contributions to this collection present groundbreaking research of texts and/or cultural trends emerging from data mined from existing databases and other aggregates of sources. Describing both small and large digital projects by scholars in visual arts, history, musicology, and literary studies, this collection addresses the benefits and challenges of employing digital tools, as well as their potential use in the classroom.

Chapters 1, 3, 8 and 10 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Introduction, Ileana Baird.- PART I: Eighteenth-Century Precursors to Data Visualization.- Chapter One The Grid and the Visualization of Abstract Information: Three Eighteenth-Century Models, Jakub Zdebik, University of Ottawa.- PART II: Representing Big Data in Eighteenth-Century Studies.- Chapter Two In Search of Enlightenment: From Mapping Books to Cultural History, Simon Burrows, Western Sydney University.- Chapter Three Examining the Early Modern Canon: The English Short Title Catalogue and Large-Scale Patterns of Cultural Production, Mikko Tolonen, Ali Zeeshan Ijaz, Ville Vaara, Mark Hill, and Leo Lahti, Helsinki Computational History Group.- Chapter Four Eighteenth-Century Poetry Criticism from 32,000 feet: An Exploration of Macroanalysis and Data Visualization in Literary History, Billy Hall, Brigham Young University.- PART III: Case Studies.- Chapter Five Exploring Data Visualization: Time, EmotionlÓy