Well, comm506 classmates … today is the day I try to make sense of Kadushin’s theoretical concepts publicly. Transmission versus diffusion; s-shaped curves and epidemiology as an illustrators of diffusion in networks (perhaps even as predictors of diffusion); tipping points and thresholds; leaders – influencers as agents of change in our networks … all contribute to rewiring our networks and bring about change in our evolving world.

Wish me luck and I hope a have a little social capital in this comm506 network to prop me up, when needed! Will update this site a bit later …

May 9th, 2012 afterthoughts … my take home points from chapter 9

  • Transmission and diffusion of ideas, practice, and innovation in networks are not the same.
  • Core to transfer of ideas, practice, and innovation in a network – is the existence of actors in that network, who adopt and emulate change … they are influentials in the diffusion model.
  • Diffusion model assumes the social network is connected with actors that influence via homophily and opinion leadership. Through modelling of innovation within and across the network, these change agents create connections that result in a small world network phenomena for the adoption and diffusion of ideas, practice, and innovation in social systems.
  • Tipping point, when the idea takes off without influence from external sources. Moreover, change or adoption is no longer incremental. Threshold is the point in the life of an idea when adoption occurs.
  • Kadushin indicates that the diffusion model is illustrative of how change is adopted, and how influence – impacts and rewires networks. Epidemiology is one field that is useful to illustrate diffusion in social networks, but not predictive of adoption.
  • Christakis presents a contrary view of predictive nature of epidemiology in social networks  … interesting to consider a differing view!

COMM506 – Kadushin-chapter 9 presentation

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