  Sociotechnical systems are complex systems, where nonlinear interaction among
different players can obscure causal relationships. The absence of mechanisms
to help us understand how to create a change in the system makes it hard to
manage these systems.
  Influencing and shaping are social operators acting on sociotechnical systems
to design a change. However, the two operators are usually discussed in an
ad-hoc manner, without proper guiding models and metrics which assist in
adopting these models successfully. Moreover, both social operators rely on
accurate understanding of the concept of trust. Without such understanding,
neither of these operators can create the required level to create a change in
a desirable direction.
  In this paper, we define these concepts in a concise manner suitable for
modelling the concepts and understanding their dynamics. We then introduce a
model for influencing and shaping and use Computational Red Teaming principles
to design and demonstrate how this model operates. We validate the results
computationally through a simulation environment to show social influencing and
shaping in an artificial society.
