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Interpreting Models of Social Group Interactions in Meetings with Probabilistic Model Checking
2018
Proceedings of the Group Interaction Frontiers in Technology on ZZZ - GIFT'18
A major challenge in Computational Social Science consists in modelling and explaining the temporal dynamics of human communication. Understanding small group interactions can help shed light on sociological and social psychological questions relating to human communications. Previous work showed how Markov rewards models can be used to analyse group interaction in meeting. We explore further the potential of these models by formulating queries over interaction as probabilistic temporal logic
doi:10.1145/3279981.3279988
dblp:conf/icmi/AndreiM18
fatcat:r3ooeywpyzbgxkx266d4qkkzza