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Privacy-Preserving Assessment of Social Network Data Trustworthiness
2014
International Journal of Cooperative Information Systems
Extracting useful knowledge from social network datasets is a challenging problem. To add to the difficulty of this problem, privacy concerns that exist for many social network datasets have restricted the ability to analyze these networks and consequently to maximize the knowledge that can be extracted from them. This paper addresses this issue by introducing the problem of data trustworthiness in social networks when repositories of anonymized social networks exist that can be used to assess
doi:10.1142/s0218843014410044
fatcat:73igpjs4q5dgtbzo53vj4oj5q4