Complex networks are ubiquitous: a cell, the human brain, a group of people and the
Internet are all examples of interconnected many-body systems characterized by …

The academic community has extensively studied fault management in dynamical and cyber-
physical systems, leading to the development of various model-based and data …

Determining the key elements of interconnected infrastructure and complex systems is
paramount to ensure system functionality and integrity. This work quantifies the dominance …

We consider a heterogeneous network of quantum computing modules, sparsely connected
via Bell states. Operations across these connections constitute a computational bottleneck …

The stability of collaborative organization is crucial for the successful functioning of
collaborative product innovation network (CPIN), which is a typical open innovation platform …

We propose a novel model-selection method for dynamic networks. Our approach involves
training a classifier on a large body of synthetic network data. The data is generated by …

While link redundancy has long been acknowledged as a critical factor in network
robustness, current approaches frequently neglect the inherent heterogeneity of structure …

Abstract One-dimensional (1D) van der Waals (vdW) materials are feasible implementations
to research 1D physics, enhance electron devices and develop novel ones. We study …

Exploration in complex networks has surged. Centrality measures play a pivotal role in
pinpointing essential components within these networks. Previous work focus on nodes with …

Networks are useful descriptions of the structure of many complex systems. Unsurprisingly, it
is thus important to analyze the robustness of networks in many scientific disciplines. In …