Node role explainability in complex networks is very difficult yet is crucial in different
application domains such as social science, neurosciences, or computer science. Many …

Graphs provide a natural mathematical abstraction for systems with pairwise interactions,
and thus have become a prevalent tool for the representation of systems across various …

Understanding the common topological characteristics of the human brain network across a
population is central to understanding brain functions. The abstraction of human …

Nodes in networks that exhibit high connectivity, also called “hubs,” play a critical role in
determining the structural and functional properties of networked systems. However, there is …

Comparing structural similarities among complex networks is an important task in several
scientific and social science applications. Existing techniques for quantifying network …

Networks are real systems modelled through mathematical objects made up of nodes and
links arranged into peculiar and deliberate (or partially deliberate) topologies. Studying …

The widespread relevance of complex networks is a valuable tool in the analysis of a broad
range of systems. There is a demand for tools which enable the extraction of meaningful …

Unveiling the homophilic/heterophilic behaviors that characterize the wiring patterns of
complex networks is an important task in social network analysis, often approached studying …

Role is a fundamental concept in the analysis of the behavior and function of interacting
entities in complex networks. Role discovery is the task of uncovering the hidden roles of …

Network-based analysis has been proven useful in biologically-oriented areas, eg, to
explore the dynamics and complexity of biological networks. Investigating a set of networks …