
Modeling the Past
Archaeology, History, and Dynamic Networks
- Publisher's listprice GBP 104.00
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52 634 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher Berghahn Books
- Date of Publication 10 March 2023
- Number of Volumes Print PDF
- ISBN 9781800738690
- Binding Hardback
- No. of pages248 pages
- Size 228x152 mm
- Language English 486
Categories
Long description:
How do researchers use dynamic network analysis (DYRA) to explore, model, and try to understand the complex global history of our species? Reduced to bare bones, network analysis is a way of understanding the world around us ? a way called relational thinking ? that is liberating but challenging. Using this handbook, researchers learn to develop historical and archaeological research questions anchored in DYRA. Undergraduate and graduate students, as well as professional historians and archaeologists can consult on issues that range from hypothesis-driven research to critiquing dominant historical narratives, especially those that have tended to ignore the diversity of the archaeological record.
" What I like about the whole book is the emphasis on historical and archaeological research as ?not the search for truth, but as a venue to test hypotheses ? research that is testable, refutable, and replicable.?? ? Stephen Acabado, University of California-Los Angeles
Table of Contents:
List of figures
Acknowledgements
Chapter 1. Dynamic Relational Analysis
Chapter 2. Start With a Question
Chapter 3. Theories of History
Chapter 4. Modeling Theories
Chapter 5. Developing Hypotheses
Chapter 6. Gathering Information
Chapter 7. Analyzing Data
Conclusion: So What?
Glossary
References