In complex networks, each node has some unique characteristics that define the importance
of the node based on the given application-specific context. These characteristics can be …

We present a multilayer network model for credit risk assessment. Our model accounts for
multiple connections between borrowers (such as their geographic location and their …

Network analysis determines node-to-node connectivity and examines each node's features.
Various tools are available in the literature to study networks like graph theoretical …

Link prediction finds the future or the missing links in a social–biological complex network
such as a friendship network, citation network, or protein network. Current methods to link …

Diffusion dynamics is the transfer of information from one node to another. Information
diffusion has two goals: maximize or minimize information spread over the network …

In this study, we compare various data visualization methods for exploring a complicated
network dataset containing details on illnesses, symptoms, and safety measures. The …

Papers are written works that contain thoughts about a particular problem or topic that are
written systematically accompanied by logical analysis. Scientific papers are often found on …

Rainstorm disasters cause serious threats to people's lives and property. Enhancing
emergency response and decision-making capabilities for rainstorm disasters is necessary …

Ranking nodes in a multiplex network is one of the most pressing and challenging tasks in
network analysis. Generalizing centrality measures to multiplex networks is an active area of …

Abstract The Unified Medical Language System (UMLS) is a collection containing data and
software that bring together different health and biomedical vocabularies and guidelines to …