Exploring Big Historical Data: The Historian's Macroscope

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World Scientific Publishing Company, Sep 16, 2015 - Computers - 308 pages

The Digital Humanities have arrived at a moment when digital Big Data is becoming more readily available, opening exciting new avenues of inquiry but also new challenges. This pioneering 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. 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. It represents the current state-of-the-art thinking in the field and exemplifies the way that digital work can enhance public engagement in the humanities.

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.

The companion website to Exploring Big Historical Data can be found at http://www.themacroscope.org/. On this site you will find code, a discussion forum, essays, and datafiles that accompany this book.

 

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Contents

Chapter 1 The Joys of Big Data For Historians
1
Chapter 2 The DH Moment
37
Techniques and Visualizations
73
A HandsOn Adventure in Big Data
113
A Basic Introductionto Visualizations
159
Chapter 6 Network Analysis
195
Chapter 7 Networks in Practice
235
Conclusion
265
Index
275
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About the author (2015)

Shawn Graham (Carleton University, Canada);Ian Milligan (University of Waterloo, Canada);Scott Weingart (Indiana University, USA)

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