The Assessment of Expertise in Social Networks

Experts finding is a frequent issue in social (even web-based) networks. This work proposes a method to globally rank people according to their expertise in a set of topics. We also introduce contexts similarity to allow related contexts to be exploited during ranks assessment. These ideas are applied to the expertise network built from Epinions.com dataset, showing first significant results.

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