The code originally started out as part of social analysis to back up a dynamic and intelligent facial recognition augmentation to for social networks, to be developed for Android phone. I chose to focus on the social network integration for the backend during the hackathon. The code implements a number of types of network importance measurements, and is then set up to display the information in a dynamic visual model that displays connections, network measurements and clustering, while showing the expected social groups from my day to day life.

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