What is the point of change?: Change point detection in relational event models
Shafiee Kamalabad,Mahdi Leenders,Roger Mulder,Joris
Shafiee Kamalabad,Mahdi
Leenders,Roger
Mulder,Joris
Abstract
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.”
Description
This work was supported by an ERC Starting Grant (758791).
Date
2023
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Research Projects
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Keywords
Bayes factor, Change point detection, Communication, Critical incident analysis, Critical situation, Graceful extensibility, Relational event model, Resilience engineering, Social network analysis
Citation
Shafiee Kamalabad, M, Leenders, R & Mulder, J 2023, 'What is the point of change? Change point detection in relational event models', Social Networks, vol. 74, pp. 166-181. https://doi.org/10.1016/j.socnet.2023.03.004