Fig. 3: Average values and standard deviation of tipping points.

The coloured bars represent the average tipping point value, and the error bars represent the standard deviation. The tipping point values for the ER and BA networks are similar since both types of networks share similar values of parameters. The NWS network is characterised by a higher clustering coefficient, which leads to lower tipping point values. Increasing the value of the mutation rate introduces more stochasticity in the system and leads to a higher value of the average tipping point and a higher standard deviation value. The parameter α does not visibly affect social tipping points. The results are averaged over 1000 runs per network type and parameter set.