activity
20172026
most citedAn Influence Network Model to Study Discrepancies in Expressed and Private Opinions

143 citations · 880 across the 32 of their papers we have counts for

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Showing 2017Show all

7 papers · 1 filter

eess.SY2017★ 9 cited

Nonlinear Mapping Convergence and Application to Social Networks

Brian D. O. Anderson, Mengbin Ye

This paper discusses discrete-time maps of the form , focussing on equilibrium points of such maps. Under some circumstances, Lefschetz fixed-point theory can b…

cs.SI2017★ 13 cited

Discrete-Time Polar Opinion Dynamics with Susceptibility

Ji Liu, Mengbin Ye, Brian D. O. Anderson +2

This paper considers a discrete-time opinion dynamics model in which each individual's susceptibility to being influenced by others is dependent on her current opinion. We assume t…

cs.SI2017★ 91 cited

Evolution of Social Power in Social Networks with Dynamic Topology

Mengbin Ye, Ji Liu, Brian D. O. Anderson +2

The recently proposed DeGroot-Friedkin model describes the dynamical evolution of individual social power in a social network that holds opinion discussions on a sequence of differ…

eess.SY2017★ 107 cited

Event-Triggered Algorithms for Leader-Follower Consensus of Networked Euler-Lagrange Agents

Qingchen Liu, Mengbin Ye, Jiahu Qin +1

This paper proposes three different distributed event-triggered control algorithms to achieve leader-follower consensus for a network of Euler-Lagrange agents. We firstly propose t…

cs.RO2017★ 16 cited

Cooperative Localisation of a GPS-Denied UAV in 3-Dimensional Space Using Direction of Arrival Measurements

James Russell, Mengbin Ye, Brian D. O. Anderson +2

This paper presents a novel approach for localising a GPS (Global Positioning System)-denied Unmanned Aerial Vehicle (UAV) with the aid of a GPS-equipped UAV in three-dimensional s…

cs.SI2017★ 21 cited

On the Analysis of the DeGroot-Friedkin Model with Dynamic Relative Interaction Matrices

Mengbin Ye, Ji Liu, Brian David Outram Anderson +2

This paper analyses the DeGroot-Friedkin model for evolution of the individuals' social powers in a social network when the network topology varies dynamically (described by dynami…