activity
20202022
most citedMulti-dimensional extensions of the Hegselmann-Krause model

3 citations · 5 across the 6 of their papers we have counts for

collaborators

7 papers

eess.SY20221 cited

On the Herdability of Linear Time-Invariant Systems with Special Topological Structures

Giulia De Pasquale, Maria Elena Valcher

In this paper, we investigate the herdability property, namely the capability of a system to be driven towards the (interior of the) positive orthant, for linear time-invariant sta…

eess.SY2022

Modeling the Cooperative Process of Learning a Task

Giulia De Pasquale, Maria Elena Valcher

In this paper, we propose a mathematical model for a Transactive Memory System (TMS) involved in the cooperative process of learning a task. The model is based on an intertwined dy…

eess.SY20223 cited

Multi-dimensional extensions of the Hegselmann-Krause model

Giulia De Pasquale, Maria Elena Valcher

In this paper, we consider two multi-dimensional Hagselmann-Krause (HK) models for opinion dynamics. The two models describe how individuals adjust their opinions on multiple topic…

eess.SY20221 cited

A Bandwagon Bias Based Model for Opinion Dynamics: Intertwining between Homophily and Influence Mechanisms

Giulia De Pasquale, Maria Elena Valcher

Recently a model for the interplay between homophily-based appraisal dynamics and influence-based opinion dynamics has been proposed. The model explores for the first time how the…

math.OC2021

Algebraic and Graph-Theoretic Conditions for the Herdability of Linear Time-Invariant Systems

Giulia De Pasquale, Maria Elena Valcher

In this paper we investigate a relaxed concept of controllability, known in the literature as herdability, namely the capability of a system to be driven towards the(interior of th…

eess.SY2021

Tripartite and Sign Consensus for Clustering Balanced Social Networks

Giulia De Pasquale, Maria Elena Valcher

In this paper, we address two forms of consensus for multi-agent systems with undirected, signed, weighted, and connected communication graphs, under the assumption that the agents…