With the rapid development of information technologies, various big graphs are prevalent in
many real applications (eg, social media and knowledge bases). An important component of …

With the rapid development of science and technology, the world is becoming increasingly
connected. The following dire need for understanding both the relationships amongst …

The core decomposition of networks has attracted significant attention due to its numerous
applications in real-life problems. Simply stated, the core decomposition of a network …

Bipartite networks are of great importance in many realworld applications. In bipartite
networks, butterfly (ie, a complete 2× 2 biclique) is the smallest non-trivial cohesive structure …

The problem of k-truss search has been well defined and investigated to find the highly
correlated user groups in social networks. But there is no previous study to consider the …

Attributed community search aims to find the community with strong structure and attribute
cohesiveness from attributed graphs. However, existing works suffer from two major …

Driven by real-life applications in geo-social networks, in this paper, we investigate the
problem of computing the radius-bounded k-cores (RB-k-cores) that aims to find cohesive …

Differentially private algorithms allow large-scale data analytics while preserving user
privacy. Designing such algorithms for graph data is gaining importance with the growth of …

Multiplex networks have shown high utility in modeling complex systems, eg, academic
social networks. Composite community structures contribute to revealing meaningful …

With the advent of a wide spectrum of recent applications, querying heterogeneous
information networks (HINs) has received a great deal of attention from both academic and …