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Network Models of the Diffusion of Innovations (Quantitative Methods in Communication Subseries), by Thomas W. Valente
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This text presents a key to understanding how ideas, products and opinions "take off" and spread throughout society - referred to as the diffusion of innovation - and provides a means to estimate how fast or slow that spread occurs. The diffusion of innovations occurs among individuals in a social system, and the pattern of communications among these individuals is a social network. The network determines how quickly innovations diffuse and the timing of each individual's adoption. The book thus analyses how social networks structure the diffusion of innovation. Chapter 1 reviews the diffusion of innovation theory, network analysis, and the datasets used as examples. Chapter 2 reviews prior research conducted on threshold and critical mass models. Chapter 3 presents relational network models of diffusion which posit that individuals adopt innovations based on their direct relations with others in their social system, and the next chapter provides structural network models of diffusion which posit that individuals adopt innovations based on their position in the social system, regardless of direct ties to specific others. Threshold and critical mass models of diffusion are presented in chapters 5 and 6. Chapter 7 develops a general threshold model of adoption based on social networks. This book is addressed to researchers, policymakers and students interested in diffusion of innovation or network analysis. It is also meant for those interested in studying the process of social change as represented by a diffusion network paradigm. Finally, individuals interested in developing, evaluating or understanding communication campaigns and media effects can use these concepts to improve their work.
- Sales Rank: #1279877 in Books
- Published on: 1995-01-10
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 6.00" w x .50" l, .60 pounds
- Binding: Paperback
- 171 pages
Most helpful customer reviews
6 of 8 people found the following review helpful.
The practical applications of social network analysis!
By Jennifer B. Unger
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!
16 of 22 people found the following review helpful.
State-of-the-Art Thinking on Innovation Research...for 1975
By Bradd E. Libby
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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