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. 2018 Oct 9;60(3):307–315. doi: 10.1007/s10329-018-0693-4

Fig. 3.

Fig. 3

Power of NBDA to correctly identify social learning after introducing noise into a social network (black circles) and percentage of models where estimates for the social learning parameter s fell within the 95% CI of the set s (= 8) for a given cut-off point (red triangles) for a models where all individuals were dropped below the cut-off point and b models where learners were retained regardless of how many times they had been observed