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 …

Opinion dynamics have attracted the interest of researchers from different fields. Local
interactions among individuals create interesting dynamics for the system as a whole. Such …

Consensus reaching is an iterative and dynamic process that supports group decision-
making models by guiding decision-makers towards modifying their opinions through a …

In this age of Facebook, Instagram, and Twitter, there is rapidly growing interest in
understanding network-enabled opinion dynamics in large groups of autonomous agents …

In opinion dynamics, some agents may exhibit the cognitive dissonance behaviors owing to
the contradictory belief, attitudes and opinions that they might confront with. This may greatly …

Agent-based models are now largely adopted to describe how opinions emerge in a group
of people. This survey provides an analysis of the literature on the subject, highlighting the …

Opinion dynamics are affected by cognitive biases and noise. While mathematical models
have focused extensively on biases, we still know surprisingly little about how noise shapes …

We propose an opinion dynamics model based on Latané's social impact theory. Actors in
this model are heterogeneous and, in addition to opinions, are characterised by their varying …

Student's t distribution is a useful tool that can model heavy-tailed noises appearing in many
practical systems. Although t distribution based filter has been derived, the information filter …

The advent and proliferation of social media have led to the development of mathematical
models describing the evolution of beliefs/opinions in an ecosystem composed of socially …