This research shows the application of multi-attribute decision making tools as applied to identifying key nodes in social and dark networks. From the social network side we used the Kite and the Knoke Information Networks as examples and for the dark network we used the Noordin 79 node network. Our results are useful in that they show a methodology to rank order key nodes. Even more important is the use of sensitivity analysis in the modeling process as the subjective decision maker s weights change.