Community structure is the most significant attribute of networks, which is often identified to
help discover the underlying organization of networks. Currently, nonnegative matrix …

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 …

In real networks, clustering is of great value to the analysis, design, and optimization of
numerous complex systems in natural science and engineering, eg power supply systems …

In order to characterize the structural features of public transportation systems (PTSs) in
mountain cities, this paper systematically examines the robustness of urban transportation …

Based on planar maximally filtered graph (PMFG) and threshold method, we introduced a
correlation-based network named PMF G-based threshold network (PTN). We studied 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 …

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 …

In order to alleviate traffic congestion on multilayer networks, designing an efficient routing
strategy is one of the most important ways. In this paper, a novel routing strategy is proposed …

In this paper, we give a methodological framework to analyze vulnerability of interdependent
infrastructure systems under deliberate attacks. Meanwhile, the intelligence of attackers is …

Rumor propagation and refutation form an important issue for spreading dynamics in online
social networks (OSNs). In this paper, we introduce a novel two-stage rumor propagation …