Detour distance Laplacian matrices for signed networks

Publications

Detour distance Laplacian matrices for signed networks

Author : Dr Fouzul Atik

Year : 2023

Publisher : World Scientific

Source Title : Discrete Mathematics, Algorithms and Applications

Document Type :

Abstract

A signed network ς = (G,σ) with the underlying graph G = (V,E), used as a mathematical model for analyzing social networks, has each edge in E with a weight 1 or-1 assigned by the signature function σ. In this paper, we deal with two types of Detour Distance Laplacian (DDL) matrices for signed networks. We characterize balance in signed social networks using these matrices and we compute the DDL spectrum of certain unbalanced signed networks, as balanced signed networks behave like unsigned ones.