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

Communities serve as basic structural building blocks for understanding the organization of
many real-world networks, including social, biological, collaboration, and communication …

Community search that finds only the communities pertaining to the query input has been
widely studied from simple graphs to attributed graphs. However, a significant limitation of …

Networked data, notably social network data, often comes with a rich set of annotations, or
attributes, such as documents (eg, tweets) and locations (eg, check-ins). Community search …

Communities in social networks are useful for many real applications, like product
recommendation. This fact has driven the recent research interest in retrieving communities …

The creating of communities has resulted in the astonishing increase in many areas.
Especially in the area of social networks, it has wide applications in the domains such as …

Recently, influential community discovery in large weighted networks has attracted
extensive attention by capturing both the importance and cohesiveness of communities, and …

The goal of community search across attributed graphs is to locate the community that takes
both attribute cohensiveness and constrained structure into account. The keyword closeness …