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Anonymization of graph-based data is a problem which has been widely studied in recent years and several anonymization methods have been developed. In this presentation the authors (Jordi Casas-Roma, Jordi Herrera-Joancomartí, Vicenç Torra) study different generic information
loss measures for graphs comparing such measures to the cluster-specific ones. They evaluate whether the generic information loss measures are indicative of the usefulness of the data for subsequent data mining processes.