The principles of social networking and the Internet of Things were combined to create the Social Internet of Things (SIoT) paradigm. Therefore, this paradigm cannot become widely adopted to the point where it becomes a well-established technology without a security mechanism to assure reliable interactions between SIoT nodes. A Trust Management (TM) model becomes a major challenge in SIoT systems to create a trust score for the network nodes ranking. Regarding the defined TM models methodology, this score will persist for the subsequent transaction and will only be changed after some time has passed or after another transaction. However, a trust evaluation methodology must be able to consider the different constraints of the SIoT environments (dynamism and scalability) when building trust scores. Based on both event-driven and time-driven methods for trust update solutions, this model can identify which damaging nodes should be eliminated based on their changing problematic behaviors over time. The effectiveness of our proposed model has been validated by a number of simulation-based experiments that were conducted on various scenarios.