The propagations of diseases, behaviors and information in real systems are rarely
independent of each other, but they are coevolving with strong interactions. To uncover the …

Many systems on our planet shift abruptly and irreversibly from the desired state to an
undesired state when forced across a “tipping point”. Some examples are mass extinctions …

Link prediction is a technique to forecast future new or missing relationships between nodes
based on the current network information. However, the link prediction in monoplex …

A network is a collection of nodes and edges, where an edge connects two nodes. Many
social, natural and engineered systems can be represented as networks. Examples include …

The physical reality can be partially mapped with network theory, showing the edging links
between connected nodes, and their spatial and intertemporal dynamic interaction. The …

Missing data are an unavoidable complication in many machine learning tasks. When data
are 'missing at random'there exist a range of tools and techniques to deal with the issue …

Network ecology is an emerging field that allows researchers to conceptualize and analyse
ecological networks and their dynamics. Here, we focus on the dynamics of ecological …

The objective of this study is to determine the impact of artificial intelligence (AI) on the
earnings before interest, taxes, depreciation, and amortization (EBITDA) of firms as a proxy …

Higher-order interactions are increasingly recognized as a fundamental aspect of complex
systems ranging from the brain to social contact networks. Hypergraphs as well as simplicial …

This book provides a concise modern introduction to the science of complex networks. The
book is based on lectures for university students and non-specialists. The aim is to introduce …