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Analysis of Social Group Dynamics
Blekinge Institute of Technology, School of Computing.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

The continuous interest in the social network area contributes to the fast development of this field. New possibilities of obtaining and storing data allows for more and more deeper analysis of the network in general, as well as groups and individuals within it. Especially interesting is studying the dynamics of changes in social groups over time. Having such knowledge ones may attempt to predict the future of the group, and then manage it properly in order to achieve presumed goals. Such ability would be a powerful tool in the hands of human resource managers, personnel recruitment, marketing, etc. The thesis presents a new method for exploring the evolution of social groups, called Group Evolution Discovery (GED). Next, the results of its use are provided together with comparison to two other algorithms in terms of accuracy, execution time, flexibility and ease of implementation. Moreover, the method was evaluated with various measures of user importance within a group. Obtained results suggest that GED is the best method for analyzing social group dynamics.

Place, publisher, year, edition, pages
2011. , 59 p.
Keyword [en]
group dynamics, GED, social network, group evolution
National Category
Computer Science Human Computer Interaction
URN: urn:nbn:se:bth-3232Local ID: diva2:830533
Available from: 2015-04-22 Created: 2011-10-06 Last updated: 2015-06-30Bibliographically approved

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