Tudor Networks of Power

Ruth Ahnert is Professor of Literary History and Digital Humanities at Queen Mary University of London. Her work focuses on Tudor culture, book history, and digital humanities. She is author of The Rise of Prison Literature in the Sixteenth Century (2013), and co-author of The Network Turn: Changing Perspectives in the Humanities (2020). Recent collaborative work has taken place through AHRC-funded projects 'Living with Machines' and 'Networking the Archives: Assembling and analysing a meta-archive of correspondence, 1509-1714'. With Elaine Treharne she is series editor of Stanford University Press's Text Technologies series.Sebastian Ahnert is a University Lecturer at the Department of Chemical Engineering & Biotechnology, University of Cambridge, and a Senior Research Fellow at The Alan Turing Institute in London. He gained his PhD in theoretical physics from the University of Cambridge and then undertook postdoctoral research at the Institut Curie in Paris, before returning to Cambridge for a Leverhulme Fellowship, followed by a Royal Society University Research Fellowship and a Gatsby Career Development Fellowship. His research interests lie in the intersection of theoretical physics, biology, mathematics, and computer science, with a particular interest in the interdisciplinary application of network analysis. He has published over sixty articles across a wide range of academic journals in the sciences and humanities. The Network Turn: Changing Perspectives in the Humanities, which he co-authored with Ruth Ahnert, Catherine Nicole Coleman, and Scott B. Weingart was published in 2020.

• Foreword Part I: Groundwork 1: Tudor Letters in the Digital Age 2: The Shape of the Archive Part II: Structure 3: Betweenness 4: Network Profiles and 'Intelligence Producers' 5: Surveillance Measures 6: Women: Petitioning, Power, and Mediation Part III: Movement 7: Information Flow 8: Itineraries Afterword

I enthusiastically recommend Tudor Networks of Power, especially for grad students and younger researchers in the digital humanities. The authors' description of this project provides useful information for academics and other analysts who wish to perform network and link analysis, especially on data sets that require significant processing.