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 pervasiveness of location-based services (LBS), spatial data processing has
received considerable attention in the research of database system management. Among …

Community search enables personalized community discovery and has wide applications in
large real-world graphs. While community search has been extensively studied for …

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

In this paper, we investigate the problem of (k, r)-core which intends to find cohesive
subgraphs on social networks considering both user engagement and similarity …

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 …

The problem of community search, which aims to find a cohesive subgraph containing user-
given query vertices, has been extensively studied recently. Most of the existing studies …

Location-based social networks (LBSNs) have been studied extensively in recent years.
However, utilizing real-world LBSN data sets yields several weaknesses: sparse and small …

Community Search (CS) is one of the fundamental tasks in network science and has
attracted much attention due to its ability to discover personalized communities with a wide …

Communities serve as basic structures for understanding the organization of many real-
world networks, such as social, biological, collaboration, and communication networks …