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Network Models of the Diffusion of Innovations (The Hampton Press Communication. Quantitative Methods in Communication) Hardcover – January, 1995

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Product Details

  • Series: The Hampton Press Communication. Quantitative Methods in Communication
  • Hardcover: 192 pages
  • Publisher: Hampton Pr (January 1995)
  • Language: English
  • ISBN-10: 1881303217
  • ISBN-13: 978-1881303213
  • Product Dimensions: 0.8 x 6.2 x 9.2 inches
  • Shipping Weight: 15.2 ounces
  • Average Customer Review: 3.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #8,964,905 in Books (See Top 100 in Books)

More About the Author

Thomas W. Valente is a Professor and Director of the Master of Public Health Program in the Department of Preventive Medicine, Keck School of Medicine, University of Southern California. He is author of Social Networks and Health: Models, Methods, and Applications (2010, Oxford University Press); Evaluating Health Promotion Programs (2002, Oxford University Press); Network Models of the Diffusion of Innovations (1995, Hampton Press); and over 100 articles and chapters on social networks, behavior change, and program evaluation. Valente uses social network analysis, health communication, and mathematical models to implement and evaluate health promotion programs designed to prevent tobacco and substance abuse, unintended fertility, and STD/HIV infections. He is also engaged in mapping community coalitions and collaborations to improve health care delivery and reduce healthcare disparities. Valente received his BS in Mathematics from the University of Mary Washington, his MS in Mass Communication from San Diego State University, and his PhD from the Annenberg School for Communication at USC. He is currently a visiting Professor the École des Haute Études en Santé Publique.

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14 of 19 people found the following review helpful By Bradd E. Libby on February 22, 2002
Format: Paperback
Though published in 1995, this book reads like it was written 20 years prior. The core chapters are each devoted to a different class of network models (relational networks, structural networks, threshold models, critcal mass models, and a chapter for 'others') and the author compares predictions made by each type to classic historical data regarding farmers in Brazil, birth control in Korea, and antibiotics among doctors. However, not a mention is made of the 'Santa Fe' school of innovation diffusion research and references to the wealth of recent research is scant (A survey of 2 randomly selected pages from the References show that, of the 35 works that appear on the pages, only 8 were less than 5 years old while 13 were from more than 20 years prior to the book's publication).
Further, the book doesn't seem to be well-suited to any particular kind of reader: because it lacks end of chapter exercises, it would not make a good textbook; it is extraordinarily light on mathematics (considering the subject matter) to be helpful to the serious scholar; and it doesn't cover the topics discussed nearly as well as, say, Everett Rogers' _Diffusion of Innovations_ or Duncan Watts' _Small Worlds_ to be interesting to the average reader. The body of innovation diffusion research is too rich to waste time reading this book, unless it's just for reference purposes.
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6 of 8 people found the following review helpful By Jennifer B. Unger on March 6, 2002
Format: Paperback
This book is an excellent review of the applications of social network analysis to health communication research. Tom Valente is an internationally-recognized scholar in social network analysis and health communication. In this book, he offers a very readable description of how social networks can be used to understand the transmission of new ideas through society. This knowledge is particularly important for the design of media-based education and advertising campaigns, because it explains how information is passed from person to person within a social network. Despite the rigorous mathematics underlying social network analysis, Dr. Valente presents the information in a way that can be understood by most applied social scientists. A must-read for social scientists who are interested in social networks!
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