DocumentCode
1661822
Title
Discovering the Evolutionary Patterns in Local Topology of an E-Mail Social Network
Author
Juszczyszyn, Krzysztof ; Frys, Wojciech
Author_Institution
Inst. of Comput. Sci., Wroclaw Univ. of Technol., Wroclaw, Poland
Volume
3
fYear
2011
Firstpage
102
Lastpage
105
Abstract
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.
Keywords
data mining; electronic mail; probability; social networking (online); topology; TTM approach; dynamic pattern discovery; e-mail social network; evolutionary pattern; transition probability; triad transition matrix; Biology; Complex networks; Educational institutions; Electronic mail; Social network services; Topology; dynamic social networks; triad enumeration; triad transitions;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
Conference_Location
Lyon
Print_ISBN
978-1-4577-1373-6
Electronic_ISBN
978-0-7695-4513-4
Type
conf
DOI
10.1109/WI-IAT.2011.21
Filename
6040816
Link To Document