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In modern social networks built from the data collected in various computer systems we observe constant changes corresponding to external events or the evolution of underlying organizations. In this work we present a new approach to the description and quantifying evolutionary patterns of social networks illustrated with the data from the Enron email dataset. We propose the discovery of local network connection patterns (in this case: triads of nodes), measuring their transitions during networkdoi:10.1109/asonam.2011.50 dblp:conf/asunam/JuszczyszynBM11 fatcat:7cge7dhp3zha7odszjfvvsev5a