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

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

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 …

Recent years have seen unprecedented growth in the popularity of social network systems,
with Facebook being an archetypical example. The access control paradigm behind the …

Social network data is widely shared, transferred and published for research purposes and
business interests, but it has raised much concern on users' privacy. Even though users' …

In this paper, we analyze and systematize the state-ofthe-art graph data privacy and utility
techniques. Specifically, we propose and develop SecGraph (available at [1]), a uniform and …

Data collected nowadays by social-networking applications create fascinating opportunities
for building novel services, as well as expanding our understanding about social structures …

In this paper, we identify mobile social networks as an important new direction of research in
mobile computing, and show how an expanded definition of mobile social networks that …

Analyzing the structure of social networks is of interest in a wide range of disciplines.
Unfortunately, sharing social-network datasets is often restrained by privacy considerations …