Threshold Models Of Diffusion

Threshold Models of Diffusion is a theoretical framework in the study of knowledge diffusion that explains the adoption of innovations or behaviors within a population based on the proportion of adopters an individual requires to perceive the innovation as legitimate, distinguishing it from other diffusion models by emphasizing individual activation thresholds contingent on social influence.

61

Publications

9.9K

Citations

162

Authors

101

Institutions

Publications per year

2017–2026

17

Variants

Threshold Models Of Innovation Diffusion

Authors

162

  1. GD
    Guillaume Deffuant

    Laboratoire d'Ingénierie des Systèmes Complexes, France

    2 publications · 44 citations

    2

    h-index

  2. MG
    Mark Granovetter

    Stanford University, United States

    2 publications · 6.5K citations

    2

    h-index

  3. AG
    Alessandro Giua

    University of Cagliari, Italy

    2 publications · 28 citations

    2

    h-index

  4. TW
    Thomas W. Valente

    University of Southern California, United States

    2 publications · 1.1K citations

    2

    h-index

  5. PH
    Paul Herbig

    Texas A&M International University, United States

    2 publications · 56 citations

    2

    h-index

1–5 of 162

Venues

  1. Journal of Product Innovation Management

    2 publications · 56 citations

    2

    h-index

  2. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 2 publications · 88 citations

    2

    h-index

  3. Scientific Reports

    2 publications · 152 citations

    2

    h-index

  4. 2

    h-index

  5. IEEE Access

    2 publications · 29 citations

    2

    h-index

1–5