activity
20222025
collaborators

7 papers

math.NA2025

Sensitivity of Perron and Fiedler eigenpairs to structural perturbations of a network

Silvia Noschese, Lothar Reichel

One can estimate the change of the Perron and Fiedler values for a connected network when the weight of an edge is perturbed by analyzing relevant entries of the Perron and Fiedler…

physics.soc-ph2025

Network connectivity analysis via shortest paths

Silvia Noschese, Lothar Reichel

Complex systems of interacting components often can be modeled by a simple graph that consists of a set of nodes and a set of edges. Such a graph can be repre…

math.NA2024

Communication in Multiplex Transportation Networks

Silvia Noschese, Lothar Reichel

Complex networks are made up of vertices and edges. The edges, which may be directed or undirected, are equipped with positive weights. Modeling complex systems that consist of dif…

physics.soc-ph2024

Edge Importance in Complex Networks

Silvia Noschese, Lothar Reichel

Complex networks are made up of vertices and edges. The latter connect the vertices. There are several ways to measure the importance of the vertices, e.g., by counting the number…

math.NA2023

Enhancing multiplex global efficiency

Silvia Noschese, Lothar Reichel

Modeling complex systems that consist of different types of objects leads to multilayer networks, in which vertices are connected by both inter-layer and intra-layer edges. In this…

math.NA2023

Network analysis with the aid of the path length matrix

Silvia Noschese, Lothar Reichel

Let a network be represented by a simple graph with vertices. A common approach to investigate properties of a network is to use the adjacency matrix $A=[a_{ij}]_…

math.NA2022

A tensor formalism for multilayer network centrality measures using the Einstein product

Smahane El-Halouy, Silvia Noschese, Lothar Reichel

Complex systems that consist of different kinds of entities that interact in different ways can be modeled by multilayer networks. This paper uses the tensor formalism with the Ein…