基于节点分割的权重序列隐私保护研究.

Aiming at the data release and weight sequence attacks of weighted social networks, this paper proposed a weighting anonymous method based on node segmentation to realize the privacy protection of network structure, side weight and weight sequence. Based on the concept of edge space of the graph, this paper constructed the vector set model of the weighted social network by using the idea of node clustering segmentation, reallocated the weight by using the center of the interval, adjusted the weight by the distance between the group diameter and the relative distance of the node sequence, used the weighted Euclidean distance to construct the candidate vector set, and selected the vector from the candidate vector set to realize the social network.This method guaranteed the structural characteristics needed by the social network analysis, the validity of the published data and the effective protection of the weight sequence attacks under the premise of ensuring the privacy and security. [ABSTRACT FROM AUTHOR]