Information Technology Reference
In-Depth Information
Fig. 2. Decision rule (Source: the authors)
5
Experimentation and Results
It was built a baseline scenario (BS) for evaluating the impact of the social network
and population heterogeneity in the diffusion curves. For experimentation,
heterogeneity was varied through the standard deviation of the normal distribution for
modeling the threshold of satisfaction of individuals; also, the network structure was
varied from a fully connected to a small-world network, which was implemented
through generative algorithm developed by Watts and Strogatz [23]. As a result,
Figure 3 shows the analyzed scenarios.
Every scenario was simulated 1000 times, in order to catch the variation of the
stochastic variables; for that reason, the results present the average diffusion curves
after the runs. Figure 4 shows the innovation diffusion curves for the considered
scenarios. Note that, because it was considered two identical innovations, diffusion
curves for both of them are almost equals between them.
Search WWH ::




Custom Search