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2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
Discovering the Evolutionary Patterns in Local Topology of an E-Mail Social Network
Lyon, France
August 22-August 27
ISBN: 978-0-7695-4513-4
We present a new approach to the quantifying changes in an email social network illustrated by the data from the Enron dataset). The Triad Transition Matrix containing the probabilities of transitions between triads is defined, then we show how it can help to discover the dynamic patterns of network evolution. The compatibility of the TTM approach with the existing methods of characterizing the local topology (network motifs) is discussed as well.
Index Terms:
dynamic social networks, triad enumeration, triad transitions
Citation:
Krzysztof Juszczyszyn, Wojciech Frys, "Discovering the Evolutionary Patterns in Local Topology of an E-Mail Social Network," wi-iat, vol. 3, pp.102-105, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011
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