The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Accelerating the Diffusion of Innovations using Opinion Leaders
Abstract
Theory on the diffusion of innovations has been used to study the spread of new ideas and practices for over 50 years in a wide variety of settings. Most studies have been retrospective, and most have neglected to collect information on interpersonal communication networks. In addition, few have attempted to use the lessons from diffusion research to accelerate the diffusion of innovations. This article outlines a method to accelerate the diffusion of innovations using opinion leaders. The authors present their optimal matching procedure and report on computer simulations that show how much faster diffusion occurs when initiated by opinion leaders. Limitations and extensions of the model are discussed.
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Cites
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The Mathematical Theory of Infectious Diseases and its applications
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Cited by
Influencers on Instagram: Antecedents and consequences of opinion leadership
Casaló, L. V., Flavián, C., & Ibáñez-Sánchez, S. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2018.07.005 · Cited by 1,336
Valente, T. W. (2012) · Science · doi:10.1126/science.1217330 · Cited by 1,271
Self-citationBanerjee, A., Chandrasekhar, A. G., Duflo, E., & Jackson, M. O. (2013) · Science · doi:10.1126/science.1236498 · Cited by 1,248
Valente, T. W. (2010) · Social Networks and Health · doi:10.1093/acprof:oso/9780195301014.003.0010 · Cited by 1,108
Self-citationSocial Networks and Health: Models, Methods, and Applications
Valente, T. W. (2010) · doi:10.1093/acprof:oso/9780195301014.001.0001 · Cited by 933
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Metadata
- Authors
- VALENTE, T. W., & DAVIS, R. L.
- Venue
- The ANNALS of the American Academy of Political and Social Science
- Publisher
- SAGE Publications
- Published
- 1999-11-01
- Volume
- 566
- Issue
- 1
- Pages
- 55-67
- ISSN
- 0002-7162 (ISSN-L)
- OpenAlex
- W2152365973
- Cited by
- 705
- References
- 41
- FWCI
- 5.87
- Type
- journal article
- 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.