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.

http://eprints.bournemouth.ac.uk/18407/

Source: Scopus

The Dynamic Structural Patterns of Social Networks Based on Triad Transitions

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

Journal: 2011 INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2011)

Pages: 581-586

DOI: 10.1109/ASONAM.2011.50

http://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

http://eprints.bournemouth.ac.uk/18407/

http://www.scopus.com/inward/record.url?eid=2-s2.0-80052747033&partnerID=40&md5=32815d206b833722fa79e3834e0e63a4

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

http://eprints.bournemouth.ac.uk/18407/

http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5992553

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

http://eprints.bournemouth.ac.uk/18407/

http://asonam.im.nuk.edu.tw/

Source: BURO EPrints