The dynamic structural patterns of social networks based on triad transitions
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
Abstract: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.
https://eprints.bournemouth.ac.uk/18407/
Source: Scopus
The Dynamic Structural Patterns of Social Networks Based on Triad Transitions
Authors: Juszczyszyn, K., Budka, M. and Musial, K.
Journal: 2011 INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2011)
Pages: 581-586
DOI: 10.1109/ASONAM.2011.50
https://eprints.bournemouth.ac.uk/18407/
Source: Web of Science (Lite)
The dynamic structural patterns of social networks based on triad transitions
Authors: Juszczyszyn, K., Budka, M. and Musial, K.
Pages: 581-586
DOI: 10.1109/ASONAM.2011.50
https://eprints.bournemouth.ac.uk/18407/
Source: Manual
Preferred by: Marcin Budka
The Dynamic Structural Patterns of Social Networks Based on Triad Transitions.
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
https://eprints.bournemouth.ac.uk/18407/
https://ieeexplore.ieee.org/xpl/conhome/5992553/proceeding
Source: DBLP
The dynamic structural patterns of social networks based on triad transitions
Authors: Juszczyszyn, K., Budka, M. and Musial, K.
Journal: Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on
Abstract: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
https://eprints.bournemouth.ac.uk/18407/
Source: BURO EPrints