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Copyright 2005-2007 Medical Decision Logic, Inc. All rights reserved. VisuaLyzer User Manual, v.2.0. The core centralization coefficient r is constrained to the range between -1 to +1 to be comparable with the measurements based on Pearson's coefficient. Cases with r >= 0.9 are marked as "perfect fit", cases r < 0.1 (and < 0) are marked as "no fit". To detect a core-periphery structure in a network, follow these steps: 1. Open a network graph. The graph used in this example can be found at ..\Examples\Binary\ KrackHighTec.eng in the installation folder. 2. Select Analysis > Core and Periphery from the menu. This will present a new graph, partitioning the network into core and peripheral nodes (Fig. 80). 3. The user can select the core or peripheral nodes by the clicking on the corresponding Show buttons on the Core-Periphery form. Once selected, the user can apply color, shape and other visual properties to distinguish between the two kinds of nodes. 4. The associated Core & Periphery form presents detailed results of the analysis procedure. Total and Enabled Nodes: This shows that there are 21 nodes in the data and all are enabled (available for analysis) Core Nodes: Number of nodes in the core Periphery Nodes: Number of nodes in the periphery Core-Periphery Ratio: The number of Core Nodes divided by the number of Peripheral Nodes. Core Centralization: An indicator of fit to the ideal model. The higher the coefficient (closer to 1), the better the fit is to the ideal model. 5. The results from the Core and Periphery form can be saved, printed or exported to Excel. 101