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Modeling the Past

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Using this handbook, researchers learn to develop historical and archaeological research questions anchored in dynamic network analysis (DYRA). Undergraduate and graduate students, as well as pro...
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  • 15 July 2026
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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.

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Price: $29.95
Pages: 248
Publisher: Berghahn Books
Imprint: Berghahn Books
Publication Date: 15 July 2026
Trim Size: 9.00 X 6.00 in
ISBN: 9781807580278
Format: Paperback
BISACs: SOCIAL SCIENCE/Archaeology, SOCIAL SCIENCE/Anthropology/Cultural & Social
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" 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

John Terrell is Regenstein Curator of Pacific Anthropology at Field Museum of Natural History in Chicago. His most recent books are A Talent for Friendship: Rediscovery of a Remarkable Trait (Oxford, 2014), and Understanding the Human Mind: Why You Shouldn't Trust What Your Brain is Telling You (written with his son Gabriel Stowe Terrell, Routledge, 2020).

List of figures
Acknowledgements

Introduction: History Matters

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