Discovering the Evolutionary Patterns in Local Topology of an E-Mail Social Network

Discovering the Evolutionary Patterns in Local Topology of an E-Mail Social Network

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...

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Bibliographic Details
Published in:2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Vol. 3; pp. 102 - 105
Main Authors: Juszczyszyn, K., Frys, W.
Format: Conference Proceeding
Language:English
Published: IEEE 01-08-2011
Subjects:
Biology
Complex networks
dynamic social networks
Educational institutions
Electronic mail
Social network services
Topology
triad enumeration
triad transitions
Online Access:Get full text
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Summary: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.
ISBN:9781457713736
145771373X
DOI:10.1109/WI-IAT.2011.21