Phase 2: Theme C - Innovations in complex social networks: Project C004|
Continuum models of spatial innovation diffusion: empirical variation in rates of spread
James Steele (AHRC CECD, Institute of Archaeology, University College London)
Anne Kandler (AHRC CECD, Institute of Archaeology, University College London)
Application of travelling wave models to innovation diffusion has been limited by the difficulty of extending them to social networks of differing topology, and by empirical evidence that the process relating geographical distance to interaction frequency is, at an aggregated level, non-Gaussian. In addition, empirical patterns of spatial lag in adoption-diffusion need not imply a contagion-diffusion process, where there is also spatial heterogeneity in the propensity to adopt. We shall explore these issues in relation to the diffusion of new agricultural technologies, and other case material.
FINAL PROJECT REPORT:
The paper on anomalous diffusion and wave speeds in demic expansions, now co-authored by JS, Anne Kandler, Roman Ungar, Tim Sluckin and Lee Hazelwood, will be updated and resubmitted to a journal shortly. The hybrid corn case study will be analysed and written up some time in the next six months.
|•||A. Kandler andJ. Steele (2009).|
Innovation diffusion in time and space: effects of social information and of income inequality. . In: Chmelik,C., Kanellopoulos,N., Karger,J., Theodorou,D. (ed\s) Diffusion Fundamentals III. Leipzig: Leipziger Universitatsverlag. 82-98 .