Abstract
The number and types ofrelationship that members ofa social network establish suggest the profile that each individual develops over time. In this pa- per, we propose a mining method capable of identifying and recovering social profiles from topological aspects in temporal networks. The application of this method allows the identification of persistent profiles and explicit patterns that suggest relationship models in social networks.
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