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Cited by 1,041

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Social network thresholds in the diffusion of innovations

Open access
Valente, Thomas W.·1996·Social Networks
DOI 10.1016/0378-8733(95)00256-1
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Abstract

Threshold models have been postulated as one explanation for the success or failure of collective action and the diffusion of innovations. The present paper creates a social network threshold model of the diffusion of innovations based on the Ryan and Gross (1943) adopter categories: (1) early adopters; (2) early majority; (3) late majority; (4) laggards. This new model uses social networks as a basis for adopter categorization, instead of solely relying on the system-level analysis used previously. The present paper argues that these four adopter categories can be created either with respect to the entire social system, or with respect to an individual's personal network. This dual typology is used to analyze three diffusion datasets to show how external influence and opinion leadership channel the diffusion of innovations. Network thresholds can be used (1) to vary the definition of behavioral contagion, (2) to predict the pattern of diffusion of innovations, and (3) to identify opinion leaders and followers in order to understand the two-step flow hypothesis better.

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Metadata

Authors
Valente, T. W.
Venue
Social Networks
Publisher
Elsevier BV
Published
1996-01
Volume
18
Issue
1
Pages
69-89
ISSN
0378-8733 (ISSN-L)
DOI
10.1016/0378-8733(95)00256-1
OpenAlex
W1996294374
Cited by
1,041
References
1
FWCI
6.45
Type
journal article
Language
en
Open access
hybrid

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