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A Test For Detecting Changes In Closed Networks Based On The Number Of Communications Between Nodes, Christopher S. Wichman
A Test For Detecting Changes In Closed Networks Based On The Number Of Communications Between Nodes, Christopher S. Wichman
Department of Statistics: Dissertations, Theses, and Student Work
This dissertation presents a formal method for detecting changes in a closed communications network based on an “abnormal” shift in the number of communications between some of the nodes. The method relies on the analyst’s ability to define the network of interest; capture the number of communications between nodes; and to establish a history of normal communications flow between nodes over fixed intervals of time. A metric multi-dimensional scaling technique is then used to represent the network at each time interval with a k-dimensional (k = 1, 2, …) configuration. The affine bi-dimensional regression coefficient of determination (aR2) …