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I’ve often wanted a book focused on network data collection while teaching this material in courses and workshops over the past decade. So I’m grateful for Barbara Entwisle and Helen Salmon providing me the opportunity and guidance to write one for this series and for overseeing a review process that undoubtedly improved the book. Hopefully, others will find what’s here at least a fraction as useful as I’ve found the process of writing it.

Any project benefits from others’ feedback, and this book is no different. Throughout, I can see the fingerprints of several collaborators from over the years. Many of the ways I approach networks date to Jim Moody’s influence as my PhD advisor, when working with him provided my introduction to social networks research. In the years since, Ryan Light and David Schaefer have been regular sounding boards on basically all things networks. It’s hard to tell where much of my own perspective begins and theirs end at times. Except when it comes to any lingering misunderstandings or misrepresentation of ideas from the field; I manage those all on my own.

The organization of this material mostly stems from teaching opportunities I’ve had across a range of settings: courses at Columbia University’s Epidemiology and Population Health Summer Institute, American University, University of Colorado Denver, and the Inter-university Consortium for Political and Social Research’s Summer Program. In particular, a seminar on network data in health research at Arizona State University allowed me to take a much deeper dive into some of these topics than would otherwise have been possible. I’d also like to acknowledge the research assistance on elements of this book from Venice Ng Williams and Tatiane Santos, with whom I coauthored a chapter that provides the backbone for parts of this book (adams, Santos, & Williams, 2019).

A writing group and office space provided by the CU Population Center in the Institute of Behavioral Science at CU-Boulder were instrumental in completing this book. Additionally, with the willingness of SAGE, I posted a draft of this book for Open Review (M.Salganik & Baker, 2018), and I’d like to thank all who provided feedback on the manuscript via that site.

Finally, I’d like to thank a number of colleagues who read and provided feedback on draft sections of this book. Their feedback has substantially clarified the material presented here: Jason Boardman, Michał Bojanowski, Jill Harrison, Ryan Light, Chris Marcum, Ryan Masters, Ann McCranie, Sanyu Mojola, Stefanie Mollborn, David Schaefer, Jenny Trinitapoli, and Sara Yeatman. I hope you know I’m happy to reciprocate any time.

SAGE and the author would like to thank the following reviewers for their feedback:

Weihua An, Emory University

Bernie Hogan, University of Oxford

Bibhuti K. Sar, University of Louisville

Ashton Verdery, The Pennsylvania State University