In many electronic commerce systems, detecting significant clusters is of great value to the
analysis, design, and optimization of the commerce behaviors. In this article, we propose a …

Mining communities or clusters in networks is valuable in analyzing, designing, and
optimizing many natural and engineering complex systems, eg, protein networks, power …

Networked systems with high computational efficiency are desired in many applications
ranging from sociology to engineering. Generally, the performance of the network …

Community structure analysis is a powerful tool for social networks that can simplify their
topological and functional analysis considerably. However, since community detection …

Detecting fuzzy communities in networks is a critical but challenging task in many fields
including biology, technology, social system and so on. Current technology is largely reliant …

How to identify influential nodes is still an open and vital issue in complex networks. To
address this problem, a lot of centrality measures have been developed, however, only …

Research into multi-layer network growth in the detection of urban dynamics provides
scholars a new way to discuss the structure changing trends and related impacts. The …

Network immunization is an effective strategy for restraining virus spreading in computer
networks and rumor propagation in social networks. Currently, lots of strategies are …

Identifying the influential nodes in complex networks is still a significant topic in theoretical
and practical recently. Many efficient and practical centrality indices have been proposed on …

Community detection and link prediction are both of great significance in network analysis,
which provide very valuable insights into topological structures of the network from different …