The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Diffusion of Innovations
Abstract
This chapter reviews diffusion of innovations theory which has been the theory that has used network principles and perspectives most extensively. An introduction to the theory and a review of its principles is provided. The chapter then reviewed the 4 major classes of diffusion models (1) integration/opinion leadership, (2) structural models, (3) critical levels, and (4) dynamic models. All four models explicitly account for network diffusion dynamics, but vary in their mathematical rigor and complexity. The chapter also introduced the calculation of infectiousness and susceptibility which dynamically account for adoption behavior and in-degree and out-degree, respectively. Empirical data illustrating network exposure effects are presented as well as the calculation and interpretation of network thresholds. The chapter closes with a brief critique of the theory.
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Cites
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Karnowski, V., & Kümpel, A. S. (2016) · Schlüsselwerke der Medienwirkungsforschung · doi:10.1007/978-3-658-09923-7_9 · Cited by 1,311
Effects of virtual reality on theme park visitors' experience and behaviors: A presence perspective
Wei, W., Qi, R., & Zhang, L. (2019) · Tourism Management · doi:10.1016/j.tourman.2018.10.024 · Cited by 406
Transformative innovation policy: Addressing variety in an emerging policy paradigm
Diercks, G., Larsen, H., & Steward, F. (2019) · Research Policy · doi:10.1016/j.respol.2018.10.028 · Cited by 404
Usage impact on data center electricity needs: A system dynamic forecasting model
Koot, M., & Wijnhoven, F. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.116798 · Cited by 403
How Does Social Media Impact Bitcoin Value? A Test of the Silent Majority Hypothesis
Mai, F., Shan, Z., Bai, Q., Wang, X. (., & Chiang, R. H. L. (2018) · Journal of Management Information Systems · doi:10.1080/07421222.2018.1440774 · Cited by 389
Metadata
- Authors
- Valente, T. W.
- Venue
- Social Networks and Health
- Publisher
- Oxford University PressNew York
- Published
- 2010-02-25
- Pages
- 172-195
- OpenAlex
- W4240963959
- Cited by
- 1,108
- References
- 21
- FWCI
- 37.20
- Type
- book chapter
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
