Abstract
Broadcast chat messages among team members in an organization can be used to evaluate team coordination and performance. Intuitively, a well-coordinated team should reflect the team hierarchy, which would indicate that team members assigned with particular roles are performing their jobs effectively. Existing approaches to identify hierarchy are limited to data from where graphs can be extracted easily. We contribute a novel approach that takes as input broadcast messages, extracts communication patterns—as well as semantic, communication, and social features—and outputs an organizational hierarchy. We evaluate our approach using a dataset of broadcast chat communications from a large-scale Army exercise for which ground truth is available. We further validate our approach on the Enron corpus of corporate email.
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Kalia, A.K., Buchler, N., Ungvarsky, D., Govindan, R., Singh, M.P. (2014). Determining Team Hierarchy from Broadcast Communications. In: Aiello, L.M., McFarland, D. (eds) Social Informatics. SocInfo 2014. Lecture Notes in Computer Science, vol 8851. Springer, Cham. https://doi.org/10.1007/978-3-319-13734-6_35
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DOI: https://doi.org/10.1007/978-3-319-13734-6_35
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