K-isomorphism: privacy preserving network publication against structural attacks

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Measuring Large-Scale Social Networks with High Resolution (2014, background): “Specific attacks are also possible in network data, as nodes can be identified based on the network structure and attributes of the neighbors [76,77].”
Correlated network data publication via differential privacy (2013, methodology): “Among all privacy models for network data, k-isomorphism [6] provides relatively strong privacy protection for edge disclosure (i.”