- Paperback: 308 pages
- Publisher: World Scientific Publishing; Reprint edition (Sept. 16 2015)
- Language: English
- ISBN-10: 1783266376
- ISBN-13: 978-1783266371
- Product Dimensions: 15.2 x 1.8 x 22.9 cm
- Shipping Weight: 358 g
- Average Customer Review: Be the first to review this item
- Amazon Bestsellers Rank: #525,605 in Books (See Top 100 in Books)
Exploring Big Historical Data: The Historian's Macroscope Paperback – Sep 16 2015
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From the Inside Flap
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.
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Most helpful customer reviews on Amazon.com
I thought Chapter 5's overview of different types of visualization, something I'm familiar with, quite good, as was Chapter 6's coverage of graphs and different metrics of network connectedness. This latter topic added a great deal of perspective to what I already knew.
Personally exploring each of these tools would be exhaustive so one is certainly thankful for the suggestions made. The book also references the authors' web site “TheMacroscope” which unfortunately appears to be underdeveloped. As is too often the case some of the links no longer work. Google has discontinued the Google Code repository, ie the precise for the GUI Topic Modeling Tool is still available but the software is not. Zotero is a recommended as browser tool. I used to use it for indexing web material but it was broken with changes to Firefox 50 last November – there's a new external tool but I found it less convenient. A list of workarounds on their website would be nice.