Title :
Utilizing Dynamic Molecular Modelling Technique for Predicting Changes in Complex Social Networks
Author :
Juszczyszyn, Krzysztof ; Musial, Anna ; Musial, Katarzyna ; Bródka, Piotr
Author_Institution :
Inst. of Inf., Wroclaw Univ. of Technol., Wroclaw, Poland
fDate :
Aug. 31 2010-Sept. 3 2010
Abstract :
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.
Keywords :
molecular dynamics method; social networking (online); Enron company; complex social networks; dynamic molecular modelling; e-mail communication; interacting particles; social network dynamics modelling; Complex networks; Computational modeling; Electronic mail; Force; Mathematical model; Predictive models; Social network services; molecular simulation; social networks;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-8482-9
Electronic_ISBN :
978-0-7695-4191-4
DOI :
10.1109/WI-IAT.2010.228
