Specifications of first infected in ModelDiffNet

[aoliveram]

I was making a model for opinion diffusion with ModelDiffNet(), where each node has the following attribute: a real number beta between 0 and 1, following a certain distribution. But, for the model, its important that the first infecterd meet the condition beta<0.2. This restriction of selection in early infected individuals cannot be accomplished with the current packege in R, epiworldR. Can you adapt the C++ code to allow this kind of escenarios?