Data visualization in Enlightenment literature and culture / / edited by Ileana Baird

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (xxii, 385 pages) : illustrations, maps
• Disciplina: 807.2; 190.9033
• Soggetto topico: Digital humanities; Enlightenment - Research - Data processing; Enlightenment - Research - Methodology; Literature - Research - Data processing; Literature - Research - Methodology
• Persona (resp. second.): BairdIleana Popa
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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, Emotion, and Epistolarity in Frances Brooke’s The History of Emily Montague, Courtney A. Hoffman, Georgia Institute of Technology -- Chapter Six Outliers, Connectors, and Textual Periphery: John Dennis’s Social Network in The Dunciad in Four Books, Ileana Baird, Zayed University -- Chapter Seven Publishing Music by Subscription in Eighteenth-Century Britain: The Case of Charles Avison, Simon D. I. Fleming, University of Durham -- Afterword: Novel Knowledge, or Cleaning Dirty Data: Toward Open-Source Histories of the Novel, Emily Friedman, Auburn University.
• Sommario/riassunto: Placed at the intersection of the digital humanities and Enlightenment studies, this collection is an interdisciplinary effort that showcases the significant digital work done in the field of eighteenth-century studies and its potential to transform our disciplinary practices. By addressing essential period-related themes—from issues of canonicity, intellectual history, and book trade practices to novel ways of exploring canonical authors and texts, gender roles, and public sphere dynamics—this collection also makes a broader argument about the necessity of expanding the very notion of “Enlightenment” not only spatially but also conceptually, by revisiting its very tenets in light of new data. The essays included here demonstrate that, by translating these new findings in suggestive visualizations, we can unveil unforeseen patterns, trends, connections, or networks of influence that could potentially revise existing master narratives about the period and the ideological structures at the core of the Enlightenment. Chapters 1, 3, 8 and 10 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. .
• Titolo autorizzato: Data visualization in enlightenment literature and culture
• ISBN: 3-030-54913-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484508403321
• Lo trovi qui: Univ. Federico II