Modeling the Past : : Archaeology, History, and Dynamic Networks / / John Terrell, Helen Dawson, Mark Golitko, Marc Kissel.

• Superior document: Title is part of eBook package: De Gruyter Berghahn Books Complete eBook-Package 2023
• VerfasserIn: Terrell, John,; Dawson, Helen,; Golitko, Mark,
• Place / Publishing House: New York; , Oxford : : Berghahn Books, , [2023]; ©2023
• Year of Publication: 2023
• Language: English
• Physical Description: 1 online resource (224 p.)
• Other title: Frontmatter --; Contents --; Illustrations --; Acknowledgments --; 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 --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781800738706; 9783110997705
• DOI: 10.1515/9781800738706
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: John Terrell, Helen Dawson, Mark Golitko, Marc Kissel.

How do researchers use dynamic network analysis (DYNA) 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 DYNA. 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 ignore the diversity of the archaeological record.