A Generalized Approach for Social Network Integration and Analysis with Privacy Preservation

摘要: Social network analysis is very useful in discovering the embedded knowledge social structures, which applicable many practical domains including homeland security, publish safety, epidemiology, public health, electronic commerce, marketing, and science. However, data usually distributed no single organization able to capture global network. For example, a law enforcement unit Region A has criminal of her region; similarly, another B B. Unfortunately, due privacy concerns, these units may not be allowed share data, therefore, neither them can benefit by analyzing integrated that combines from networks In this chapter, we discuss aspects sharing insensitive generalized information support while preserving at same time. We generalization approach construct only shared. will also integration how it satisfy prescribed level leakage tolerance measured independently privacy-preserving techniques.