  Reputation systems concern soft security dynamics in diverse areas. Trust
dynamics in a reputation system should be stable and adaptable at the same time
to serve the purpose. Many reputation mechanisms have been proposed and tested
over time. However, the main drawback of reputation management is that users
need to share private information to gain trust in a system such as phone
numbers, reviews, and ratings. Recently, a novel model that tries to overcome
this issue was presented: the Dynamic Interaction-based Reputation Model
(DIBRM). This approach to trust considers only implicit information
automatically deduced from the interactions of users within an online
community. In this primary research study, the Reddit and MathOverflow online
social communities have been selected for testing DIBRM. Results show how this
novel approach to trust can mimic behaviors of the selected reputation systems,
namely Reddit and MathOverflow, only with temporal information.
