Przemyslaw Kazienko, Tomasz Kajdanowicz, Radosław Michalski, Piotr Bródka
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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. Selected relevant models and methods like multi-layered (multidimensional) social networks, structural measures aggregation or change detection in groups are exposed as useful research approaches.
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