AAAI Publications, Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence

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Analysis of C2 and “C2-Lite” Micro-Message Communications
Andrew Duchon, Robert McCormack, Brian Riordan, Charlotte Shabarekh, Shawn Weil, Ian Yohai

Last modified: 2011-08-24

Abstract


Microtext can be considered one form of micro-messaging which can include non-digital communications which have been digitized. We present our experiences and some results analyzing micro-messages in both military command and control (C2) and more general “C2-Lite” domains in order to predict other information such as the performance of a team, the topics of discussion, or the spread of ideas. In both situations, the data can vary by the breadth of discussion, the number of participants, and the looseness of protocol. In all cases, organizing the data, combining temporal or network analysis with increasingly statistical content analyses is critical. The underlying similarities imply that analyses created for one domain can be applied to the others.

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