Exploring Big Historical Data: The Historian's Macroscope (Second Edition)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. |
Contents
| 1 | |
Chapter 2 The DH Moment | 35 |
Techniques and Visualizations | 73 |
A HandsOn Adventure in Big Data | 115 |
A Basic Introduction to Visualizations | 155 |
Other editions - View all
Exploring Big Historical Data: The Historian's Macroscope Shawn Graham,Ian Milligan,Scott B. Weingart,Kimberley Martin No preview available - 2022 |
Exploring Big Historical Data: The Historian's Macroscope Shawn Graham,Ian Milligan,Scott B. Weingart No preview available - 2016 |
Common terms and phrases
algorithms AntConc Archive average path length basic big data blog browser Canadian centrality chapter clustering coefficient color column command Connectia corpus create database datasets diaries digital history digital humanities discussed documents example explore filter folder format Gephi Google graph graphic variables Graphville Ian Milligan images important install interactive Internet Internet Archive look macroscope main_page matrix metadata Netland network analysis network visualization Ngram Nodopolis Old Bailey open source open-source software OpenRefine Overview package PageRank path length patterns plugins Programming Historian Python query regex regular expressions repository represent scholars scrape social network spreadsheet structure tags text files text mining tf-idf tion topic modeling Topic Modeling Tool tutorial types University urls Voyant Tools webpage Wget window word cloud XPath Zotero
