code: def set_initial_status(self, configuration=None):
          
          super(AlgorithmicBiasModel, self).set_initial_status(configuration)
  
          # set node status
          for node in self.status:
              self.status[node] = np.random.random_sample()
          self.initial_status = self.status.copy()
docs: Override behaviour of methods in class DiffusionModel.
          Overwrites initial status using random real values.