Reciprocity, or the tendency of individuals to mirror behavior, is a key measure that
describes information exchange in a social network. Users in social networks tend to …

Random matrix theory allows for the deduction of stability criteria for complex systems using
only a summary knowledge of the statistics of the interactions between components. As …

Recent research has tried to extend the concept of renormalization, which is naturally
defined for geometric objects, to more general networks with arbitrary topology. The current …

As a powerful tool for exploring non-pairwise interactions, higher-order networks deepen our
understanding of how cooperation emerges in complex systems. However, nearly all …

In this study we consider connected graphs of fixed order n and size m that minimize the
largest eigenvalue of the adjacency matrix, also known as the spectral radius. Such graphs …

The Russia-Ukraine conflict is a growing concern worldwide and poses serious threats to
regional and global food security. Using monthly trade data for maize, rice, and wheat from …

The diversity and dynamics of quality index information bring challenges to quality
assessment of experience products. This paper proposes a three-stage quality assessment …

Despite the widespread adoption of higher-order mathematical structures such as
hypergraphs, methodological tools for their analysis lag behind those for traditional graphs …

We present a nation-wide network analysis of non-fatal opioid-involved overdose journeys
in the United States. Leveraging a unique proprietary dataset of Emergency Medical …

A critical element in the process of control and influence spread is the selection of the seed
nodes from which influence and control spreads. To be able to meet project aim and to …