The flow of information through active users in online social networks (OSNs) plays a major
role in forming natural social groups, popularly known as communities. Although structural …

The structural and functional characteristic features of nodes can be analyzed by visualizing
community structure in complex networks. Community detection helps us to detect nodes …

Influence maximization problem attempts to find a small subset of nodes in a social network
that makes the expected influence maximized, which has been researched intensively …

Community detection (or graph clustering) is crucial for unraveling the structural properties
of complex networks. As an important technique in community detection, label propagation …

Despite echo chambers in social media have been under considerable scrutiny, general
models for their detection and analysis are missing. In this work, we aim to fill this gap by …

As a hot research topic in network science, community detection has attracted much
attention of scholars. In recent years, many methods have emerged to discover the …

The rapid growth in popularity of online social networks provides new opportunities in
computer science, sociology, math, information studies, biology, business, and more. Social …

Traditional social group analysis mostly uses interaction models, event models, or other
social network analysis methods to identify and distinguish groups. This type of method can …

Considering two decision-making tasks $ A $ and $ B $, each of which wishes to compute
an effective decision $ Y $ for a given query $ X $, can we solve task $ B $ by using query …

This paper proposes a corpus-based media posts expansion technique with a density-
based clustering method for community detection. To enrich the user content information …