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  1. Viral networks
    connecting digital humanities and medical history
    Autor*in:
    Erschienen: 2018
    Verlag:  VT Publishing, Blacksburg, VA

    This volume of original essays explores the power of network thinking and analysis for humanities research. Contributing authors are all scholars whose research focuses on a medical history topic--from the Black Death in fourteenth-century Provence... mehr

    Standort:
    Universitäts- und Landesbibliothek Sachsen-Anhalt / Zentrale
    Signatur:
    NB 2264 100
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    Link zum Verbundkatalog:
    Gemeinsamer Bibliotheksverbund (GBV)

     

    This volume of original essays explores the power of network thinking and analysis for humanities research. Contributing authors are all scholars whose research focuses on a medical history topic--from the Black Death in fourteenth-century Provence to psychiatric hospitals in twentieth-century Alabama. The chapters take readers through a variety of situations in which scholars must determine if network analysis is right for their research; and, if the answer is yes, what the possibilities are for implementation. Along the way, readers will find practical tips on identifying an appropriate network to analyze, finding the best way to apply network analysis, and choosing the right tools for data visualization. All the chapters in this volume grew out of the 2018 Viral Networks workshop, hosted by the History of Medicine Division of the National Library of Medicine (NIH), funded by the Office of Digital Humanities of the National Endowment for the Humanities, and organized by Virginia Tech

     
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    Quelle: Verbundkataloge
    Beteiligt: Ewing, E. Thomas (HerausgeberIn); Randall, Katherine (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9781949373004; 9781949373066; 1949373061; 1949373002
    RVK Klassifikation: NB 2264
    Schlagworte: Information visualization; Digital humanities; Medicine; System analysis; History of Medicine; Data Analysis; Data Visualization; Information Dissemination; Research Design; Digital humanities; Information visualization; Medicine; System analysis; History
    Umfang: xv, 266 Seiten, Illustrationen, 22 cm
    Bemerkung(en):

    "This volume is the product of the Viral Networks workshop, January 2018."--Title page verso

    Includes bibliographical references
  2. Cultural Analytics
    Autor*in:
    Erschienen: 2018; ©2018
    Verlag:  MIT Press, Cambridge, MA

    A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data.How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of... mehr

    Zugang:
    Resolving-System (Lizenzpflichtig)

    Standort:
    Universitätsbibliothek Osnabrück
    Fernleihe:
    keine Fernleihe
    Link zum Verbundkatalog:
    Gemeinsamer Bibliotheksverbund (GBV)

    Standort:
    Universitätsbibliothek der Eberhard Karls Universität
    Fernleihe:
    keine Fernleihe
    Link zum Verbundkatalog:
    Südwestdeutscher Bibliotheksverbund (SWB)

     

    A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data.How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the terabytes of photographs shared on social media every day, the hundreds of millions of songs created by twenty million musicians on Sound Cloud, the content of four billion Pinterest boards? In Cultural Analytics, Lev Manovich presents concepts and methods for computational analysis of cultural data, with a particular focus on visual media. Drawing on more than a decade of research and projects from his own lab, Manovich--the founder of the field of cultural analytics--offers a gentle, nontechnical introduction to selected key concepts of data science and discusses the ways that our society uses data and algorithms.Manovich offers examples of computational cultural analysis and discusses the shift from new media to more media; explains how to turn cultural processes into computational data; and introduces concepts for exploring cultural datasets using data visualization as well as other recently developed methods for analyzing image and video datasets. He considers both the possibilities and the limitations of computational methods, and how using them challenges our existing ideas about culture and how to study it. Cultural Analytics is a book of media theory. Arguing that before we can theorize digital culture, we need to see it, and that, because of its scale, to see it we need computers, Manovich provides scholars with practical tools for studying contemporary media.

     
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