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Title: Leveraging Structural Characteristics of Interdependent Networks to Model Non-Linear Cascading Risks
Authors: Anita Raja
Mohammad Rashedul Hasan
Shalini Rajanna
Ansaf Salleb-Aoussi
Keywords: Non-Linear Cascading Risks
Interdependent Networks
Data Acquisition
Issue Date: 30-Apr-2013
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Risk Analysis
Abstract: This paper describes our continuing efforts to forge new ground in identifying the effects of interdependency on acquisition and, if needed, uncovering early indicators of interdependency risk so that appropriate governance oversight methods can then be isolated. Specifically, we seek to study the topologies of Major Defense Acquisition Programs (MDAPs) networks and associated cascading consequences of interdependencies in such highly dependent networks. Since the start of this new project phase a couple of months ago, we have begun harnessing the extensive data that has been collected over the years in the form of Defense Acquisition Execution Summary (DAES) documents for the MDAPs. We present a road map of our research plan and our preliminary results in our ongoing efforts on leveraging network structure and automatic data extraction to study cascading risks. We will also identify the challenges to data acquisition.
Description: Acquisition Management / Defense Acquisition Community Contributor
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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