Abstract
Computational modeling of organizational process is an important problem in understanding the organizational operation during insurgent event. The key of modeling organizational dynamics during event process is to describe the uncertainty of individual behaviors. Towards this end, in this paper, the dynamic organizational evolution during an insurgent event is analyzed, and the individual behaviors are modeled as task-oriented self-organization process. A real insurgent event is used to analyze the organizational process, and the organizational structure, task workflow and information flow during the process are studied. Experimental results demonstrate that the proposed model is consistent with the empirical research. The method provides a way to understand the dynamic organizational evolution process and exhibits potential application in strategy development.
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