Anzeige
Erschienen in:
2014 | OriginalPaper | Buchkapitel
Determining Team Hierarchy from Broadcast Communications
verfasst von : Anup K. Kalia, Norbou Buchler, Diane Ungvarsky, Ramesh Govindan, Munindar P. Singh
Erschienen in: Social Informatics
Verlag: Springer International Publishing
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.