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Utilizing Dynamic Molecular Modelling Technique for Predicting Changes in Complex Social Networks

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4 Author(s)
Juszczyszyn, K. ; Inst. of Inf., Wroclaw Univ. of Technol., Wroclaw, Poland ; Musial, A. ; Musial, K. ; Brodka, P.

We present a method that utilises dynamic molecular modelling technique to track the changes within complex social network. The users forming a social network are interpreted as large sets of interacting particles. The data for the conducted research was obtained from e-mail communication within Enron company. The social network of employees was extracted and used to evaluate the methodology of social network dynamics modelling.

Published in:

Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on  (Volume:3 )

Date of Conference:

Aug. 31 2010-Sept. 3 2010