The modern science of networks has made significant advancement in the modeling of
complex real-world systems. One of the most important features in these networks is the …

Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …

The modern science of networks has brought significant advances to our understanding of
complex systems. One of the most relevant features of graphs representing real systems is …

Networks have become a key approach to understanding systems of interacting objects,
unifying the study of diverse phenomena including biological organisms and human …

Plan recognition, activity recognition, and intent recognition together combine and unify
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …

Revealing the latent community structure, which is crucial to understanding the features of
networks, is an important problem in network and graph analysis. During the last decade …

Community search is important in graph analysis and can be used in many real applications.
In the literature, various community models have been proposed. However, most of them …

Complex networks are widely applied in every aspect of human society, and community
detection is a research hotspot in complex networks. Many algorithms use modularity as the …