Complex systems are extremely hard to predict due to its highly nonlinear interactions and
rich emergent properties. Thanks to the rapid development of network science, our …

Networks are powerful instruments to study complex phenomena, but they become hard to
analyze in data that contain noise. Network backbones provide a tool to extract the latent …

Lithium-ion batteries (LIBs) are an essential part for electric vehicles (EVs) and have
experienced rapid growth with the strong demand for EVs. Concerns over the sustainable …

Network science provides effective tools to model and analyze complex systems. However,
the increasing size of real-world networks becomes a major hurdle in order to understand …

Online review networks have become a popular platform for disseminating information
which attracts large numbers of spammers to influence the reputation of the online products …

Numerous complex systems such as rating systems are highly affected by a small number of
spamming attackers. How to design a fast and effective ranking method under the threat of …

How to design an accurate and robust ranking algorithm is a fundamental problem with wide
applications in many real systems. It is especially significant in online rating systems due to …

The ranking problem has attracted much attention in real systems. How to design a robust
ranking method is especially significant for online rating systems under the threat of …

Determining the core structure of complex network systems allows us to simplify them. Using
h-bridge and h-strength measurements in a weighted network, we extract the h-backbone …

Interlayer link prediction aims at matching the same entities across different layers of the
multiplex network. Existing studies attempt to predict more accurately, efficiently, or …