Mining health data can lead to faster medical decisions, improvement in the quality of
treatment, disease prevention, and reduced cost, and it drives innovative solutions within the …

Nowadays, many computer and communication systems generate graph data. Graph data
span many different domains, ranging from online social network data from networks like …

This paper describes the deployment of a large-scale study designed to measure human
interactions across a variety of communication channels, with high temporal resolution and …

With an enormous range of applications, the Internet of Things (IoT) has magnetized
industries and academicians from everywhere. IoT facilitates operations through ubiquitous …

With the increasing prevalence of information networks, research on privacy-preserving
network data publishing has received substantial attention recently. There are two streams …

The increasing popularity of social media has attracted a huge number of people to
participate in numerous activities on a daily basis. This results in tremendous amounts of …

A great deal of research has been conducted on modeling and discovering communities in
complex networks. In most real life networks, an object often participates in multiple …

Local differential privacy (LDP) is an emerging technique for privacy-preserving data
collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be …

The introduction of online social networks (OSN) has transformed the way people connect
and interact with each other as well as share information. OSN have led to a tremendous …

The increasing popularity of social networks has inspired recent research to explore social
graphs for marketing and data mining. As social networks often contain sensitive information …