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The main goal of the paper is to present how the data-driven approach to social network analysis enables various applications of knowledge about human behaviour. Three main illustrative application domains are pointed out and briefly analysed: social recommender systems in online multimedia publishing services, assessment of organisational structures in companies and social group evolution in blogosphere...
The dynamic character of most social networks requires to model evolution of networks in order to enable complex analysis of theirs dynamics. The following paper focuses on the definition of differences between network snapshots by means of Graph Differential Tuple. These differences enable to calculate the diverse distance measures as well as to investigate the speed of changes. Four separate measures...
Two approaches for identifying key persons in the blogosphere-based social network are analysed in the paper: discovery of the most important individuals either in persistent or in global social communities existing on web blogs. A new method for the separation of stable groups fulfilling given conditions is presented. Additionally, a new concept for extraction of user roles and key persons in such...
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