Multilayer networks are a powerful paradigm to model complex systems, where multiple
relations occur between the same entities. Despite the keen interest in a variety of tasks …

As a fundamental graph problem, community search is applied in various areas, eg, social
networks, the world wide web, and biology. A common requirement from real applications is …

Size-constrained community search, retrieving a size-bounded high-quality subgraph
containing user-specified query vertices, has been extensively studied in graph analysis …

Community search is a problem of finding densely connected subgraphs that satisfy the
query conditions in a network, which has attracted much attention in recent years. However …

Social media community detection is a fundamental challenge in social data analytics, in
order to understand user relationships and improve social recommendations. Although the …

Searching for local communities is an important research problem that supports advanced
data analysis in various complex networks, such as social networks, collaboration networks …

Bipartite graphs are widely used to model relationships between two types of entities.
Community search retrieves densely connected subgraphs containing a query vertex, which …

Given a graph G and a query vertex q, the topic of community search (CS), aiming to retrieve
a dense subgraph of G containing q, has gained much attention. Most existing works focus …

Given a graph G and a set Q of query nodes, we examine the Steiner Maximum-Connected
Subgraph (SMCS). The SMCS, or G's induced subgraph that contains Q with the largest …

Background: Today, there are various theories about the causes of hereditary diseases, but
doctors believe that both genetic and environmental factors play an essential role in the …