Spatial clustering deals with the unsupervised grouping of places into clusters and finds
important applications in urban planning and marketing. Current spatial clustering models …

Community structure detection is of great importance because it can help in discovering the
relationship between the function and the topology structure of a network. Many community …

Many real world systems or web services can be represented as a network such as social
networks and transportation networks. In the past decade, many algorithms have been …

Community detection is a hot topic in the field of complex social networks. It is of great value
to personalized recommendation, protein structure analysis, public opinion analysis, etc …

In this paper, a simple but efficient method of overlapping community detection is presented
using local community gravitation in social networks. Given a highquality, non-overlapping …

Heterogeneous networks are a type of complex network model which can have multi-type
objects and relationships. Nowadays, research on heterogeneous networks has been …