The application of graph analytics to various domains has yielded tremendous societal and
economical benefits in recent years. However, the increasingly widespread adoption of …

Owning to the massive growth in internet connectivity, smartphone technology, and digital
tools, the use of various online social networks (OSNs) has significantly increased. On the …

Microaggregation is a classical statistical disclosure control technique which requires the
input data to be partitioned into clusters while adhering to specified size constraints. We …

Many complex natural and technological systems are commonly modeled as count-
weighted graphs, where nodes represent entities, edges model relationships between them …

Differential privacy has been widely adopted to release continuous-and scalar-valued
information on a database without compromising the privacy of individual data records in it …

We present the notion of reasonable utility for binary mechanisms, which applies to all utility
functions in the literature. This notion induces a partial ordering on the performance of all …

The mobile network is a graph structure that models a set of objects (nodes) and their
relationships (edges). Recently, data mining methods have proliferated due to the strong …

Preserving privacy of an individual in network structured data while enhancing utility of
published data is one of the most challenging problems in data privacy. Moreover, different …

Network data has great significance for commercial and research purposes. However, most
networks contain sensitive information about individuals, thereby requiring privacy …

With the widespread popularity of Wireless Mobile Networks (WMNs) in our daily life, the
huge risk to disclose personal privacy of massive graph structure data in WMNs receives …