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This paper presents an extension to the relational event model with change points (REM-CP) to study abrupt changes to social interaction behavior in temporal networks. A change point detection algorithm is proposed for exploring when and which network effects abruptly change, and a confirmatory approach to test the presence of a change point at a given moment. The effectiveness of the methodology was assessed with numerical simulations and NASA's Apollo 13 mission data. The latter revealed dynamic communication behavior and identified time zones where most change points occurred, including around the time of the famous quote "Houston, we've had a problem." • The strengths of some effects and therefore social dynamics, can change at certain points in time. • The REM with Change Points (REM-CP) builds on the relational event modeling framework and the Bayes factor and detects when the change points in social networks occur. • REM-CP can explore when and which network effects abruptly change in a specified period and test the presence of a change point at a given moment. • REM-CP can be a useful tool to analyze how teams work, communicate and how they handle critical situations. • Team resilience has been defined in many ways, but the most fitting with the analysis at hand (REM-CP) is that of "graceful extensibility". [ABSTRACT FROM AUTHOR]