Background Data science offers an unparalleled opportunity to identify new insights into
many aspects of human life with recent advances in health care. Using data science in …

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

Differential privacy provides strong privacy preservation guarantee in information sharing.
As social network analysis has been enjoying many applications, it opens a new arena for …

With the development of social platforms, the social network has aroused wide attention.
Since social networks contain a lot of personal sensitive information, many privacy …

Graph diffusion, which iteratively propagates real-valued substances among the graph, is
used in numerous graph/network-involved applications. However, releasing diffusion …

Analytics over social graphs allows to extract valuable knowledge and insights for many
fields like community detection, fraud detection, and interest mining. In practice …

The goal of privacy-preserving graph publishing is to protect individual privacy in released
graph data while preserving data utility. Degree distribution, serving as fundamental …

With the development and popularity of social networks, the security issues of personal data
await effective solution. We propose a differential privacy protection scheme for social …

The booming development of Internet of Vehicles (IoV) has brought new vitality to the
construction of intelligent transportation systems (ITS). At the same time, a huge amount of …

Link prediction, inferring the undiscovered or potential links of the graph, is widely applied in
the real world. By facilitating labeled links of the graph as the training data, numerous deep …