Network Models of the Diffusion of InnovationsHampton Press, 1995 - 171 pages 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. |
Table des matières
Prior Research on Threshold and Critical Mass Effects | 17 |
Interactive Communication Technologies | 23 |
Relational Diffusion Networks | 31 |
Droits d'auteur | |
9 autres sections non affichées
Autres éditions - Tout afficher
Expressions et termes fréquents
adopt an innovation adopt innovations adopt the innovation adopter categories adoption behavior average exposure Brazilian farmers Chapter cohesion collective action collective behavior communication computed contagion corrected threshold correlated critical mass effects critical mass models cumulative adoption diffusion curve diffusion of innovations diffusion process earlier early adopters example exposure level external influence geodesic Granovetter high thresholds hybrid corn indicates individuals adopt individuals who adopt inflection point influence on adoption innovative relative interpersonal influence Katz Korean family planning Korean women logistic function low T/CM low thresholds mass media matrix measure models of diffusion network analysis network exposure model Network externalities network models network nominations network threshold model nominations received opinion leaders opinion leadership personal network exposure Pluralistic ignorance presented proportion of adopters radiality rate of diffusion Rogers sion social network social system sociogram spiral of silence structural equivalence T/CM adopters tetracycline three datasets THRESH threshold and critical threshold lag tion variables