The Dynamic Structural Patterns of Social Networks Based on Triad Transitions

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Authors: Juszczyszyn, K., Budka, M. and Musial, K.

Journal: ASONAM

Pages: 581-586

Publisher: IEEE Computer Society

ISBN: 978-0-7695-4375-8

DOI: 10.1109/ASONAM.2011.50

This data was imported from Scopus:

Authors: Juszczyszyn, K., Budka, M. and Musiał, K.

Journal: Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011

Pages: 581-586

ISBN: 9780769543758

DOI: 10.1109/ASONAM.2011.50

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 network evolution and present the preliminary results of this approach. We define the Triad Transition Matrix (TTM) containing the probabilities of transitions between triads, then we show how it can help to discover the dynamic patterns of network evolution. Also, we analyse the roles performed by different triads in the network evolution by the creation of triad transition graph built from the TTM, which allows us to characterize the tendencies of structural changes in the investigated network. The future applications of our approach are also proposed and discussed. © 2011 IEEE.

This data was imported from Web of Science (Lite):

Authors: Juszczyszyn, K., Budka, M., Musial, K. and IEEE


Pages: 581-586

DOI: 10.1109/ASONAM.2011.50

The data on this page was last updated at 04:42 on September 20, 2017.