In this paper, we propose a computational model: trust-based multi-ego social network to investigate and understand dynamic emotion diffusion through the whole population and the result of this dynamic diffusion. The key advantage of our proposed computational model is that it is able to answer the questions of ‘why’ some individuals are happier than others and ‘what…if’ question (e.g. what happens if we increase social behaviours in a hard period, such as economic crisis) by changing the parameter setting for the model. From the simulation results, we show that, first emotion diffusion and social support help in increasing the happiness for both individual level and the whole society level; secondly, individuals with high happiness factor (high happiness genes) and more friends (hence more social support) tend to be happier.
['Di Wang', 'Alistair G. Sutcliffe', 'Xiao-Jun Zeng']
A trust-based multi-ego social network model to investigate emotion diffusion