Exploring big historical data : the historian's macroscope / Shawn Graham, Ian Milligan, Scott B. Weingart, Kim Martin.

Format:

Book

Author/Creator:

Graham, Shawn, author.

Milligan, Ian, 1983- author.

Weingart, Scott (Scott B.), author.

Martin, Kimberley, author.

Contributor:

Rosengarten Family Fund.

Language:

English

Subjects (All):

History--Computer network resources.

History.

Big data.

Historiography--Methodology.

Historiography.

History--Research.

Physical Description:

xxvi, 278 pages : illustrations (chiefly color), color maps ; 24 cm

Edition:

Second edition.

Place of Publication:

New Jersey : World Scientific, [2022]

Summary:

"Every day, more and more kinds of historical data become available, opening exciting new avenues of inquiry but also new challenges. This updated and expanded book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines or designing and using their own tools to process large amounts of information. Demonstrating what digital tools have to offer and also what 'digital' does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Originally authored 'live' online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future. Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings"-- Provided by publisher.

Contents:

Machine generated contents note: ch. 1 The Joys of Big Data for Historians

ch. 2 The DH Moment

ch. 3 Data Mining Tools: Techniques and Visualizations

ch. 4 Topic Modeling: A Hands-On Adventure in Big Data

ch. 5 Making Your Data Legible: A Basic Introduction to Visualizations

ch. 6 Network Analysis

ch. 7 Networks in Practice.

Notes:

Includes bibliographical references and index.

Local Notes:

Acquired for the Penn Libraries with assistance from the Rosengarten Family Fund.

ISBN:

9789811243035

9811243034

9789811243981

9811243980

OCLC:

1269422323

Publisher Number:

99991089009