Recent years have witnessed a significant trend towards filling the gap between Social
Network Analysis (SNA) and control theory. This trend was enabled by the introduction of …

At the beginning of this century, Hegselmann and Krause proposed a dynamical model for
opinion formation that is referred to as the Bounded Confidence Opinion Dynamics (BCOD) …

We study SDE and PDE models for opinion dynamics under bounded confidence, for a
range of different boundary conditions, with and without the inclusion of a radical population …

Abstract The classic Hegselmann-Krause (HK) model for opinion dynamics consists of a set
of agents on the real line, each one instructed to move, at every time step, to the mass center …

Opinion spreading in a society decides the fate of elections, the success of products, and the
impact of political or social movements. A prominent model to study opinion formation …

Influence maximization for opinion formation (IMOF) is a significant issue in social networks.
In general, the main goal of the IMOF is to determine a set of optimal nodes in an effective …

Hegselmann–Krause (HK) models exhibit complex behaviors which are not easily tractable
through mathematical analysis. In this paper, a characterization of the steadystate behaviors …

We investigate a variant of the Hegselmann-Krause model of opinion dynamics that relaxes
the assumption that every agent has knowledge of every other agent's opinion at all points in …

Dynamic Opinion Maximization (DOM) is an optimization issue, which determines some
influential network nodes (ie, seed nodes) to propagate specific opinions towards a certain …

We study the convergence properties of social Hegselmann–Krause (HK) dynamics, a
variant of the HK model of opinion dynamics where a physical connectivity graph that …