Fast Computation and Optimization for Opinion-Based Quantities of Friedkin-Johnsen Model

In this paper, we address the problem of fast computation and optimization of opinion-based quantities in the Friedkin-Johnsen (FJ) model. We first introduce the concept of partial rooted forests, based on which we present an efficient algorithm for computing relevant quantities using this method. F…

View Post on Scour ↗

More from arXiv on Scour.