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To meet the intelligence community's need for link analysis tools that work together, researchers are currently investigating ways of building workflows of these tools using an intelligent system architecture. A key challenge in building a dynamic link analysis workflow environment is representing the behavior of the individual link analysis algorithms being composed. In this paper, we outline techniques for modeling algorithms that allow a system architecture to reason about their behavior and performance, individually and in combination. The algorithm characterization model we propose is based on a layered approach, where the layers range from high-level qualitative descriptions of algorithms to detailed statistical descriptions of their effect on the data.