Thank you. Actually this approach to dichotomizing is forcing me to reassess my method which was assigning 1 to mean +/- 1SD and all else a zero with the recognition that low degree individuals are peripheral and have far less impact on a network. It seemed to work well when comparing external references to node positions and behaviors (ground truth tests) although this may have been facilitated by large numbers of attributes per node (typically 180-250).
