scispace - formally typeset
Journal ArticleDOI

Binary Opinion Dynamics with Stubborn Agents

Reads0
Chats0
TLDR
It is shown that the presence of stubborn agents with opposing opinions precludes convergence to consensus; instead, opinions converge in distribution with disagreement and fluctuations.
Abstract
We study binary opinion dynamics in a social network with stubborn agents who influence others but do not change their opinions. We focus on a generalization of the classical voter model by introducing nodes (stubborn agents) that have a fixed state. We show that the presence of stubborn agents with opposing opinions precludes convergence to consensus; instead, opinions converge in distribution with disagreement and fluctuations. In addition to the first moment of this distribution typically studied in the literature, we study the behavior of the second moment in terms of network properties and the opinions and locations of stubborn agents. We also study the problem of optimal placement of stubborn agents where the location of a fixed number of stubborn agents is chosen to have the maximum impact on the long-run expected opinions of agents.

read more

Citations
More filters
Posted Content

Noisy bounded confidence models for opinion dynamics: the effect of boundary conditions on phase transitions

TL;DR: In this article, SDE and PDE models for opinion dynamics under bounded confidence were compared for a range of different boundary conditions, with and without the inclusion of a radical population.
Journal ArticleDOI

Dynamics of opinions with social biases

TL;DR: In this article, the authors provide a systemic analysis to social opinion dynamics subject to individual biases and show that when the initial network opinions are polarized towards one side of the state space, node biases will drive the opinion evolution to the corresponding interval boundaries.
Journal ArticleDOI

Consensus versus persistence of disagreement in opinion formation: the role of zealots

TL;DR: In this paper, the authors consider a general class of three-state models where individuals hold one of two opposite opinions, or are neutral, and exchange opinions in generic pairwise interactions, and show that when opinions spread in a population where a fraction of individuals (zealots) unshakably maintain their view, one of four qualitatively distinct kinds of collective dynamics arises, depending on the specific rules governing the social interactions.
Journal ArticleDOI

Resisting Influence: How the Strength of Predispositions to Resist Control Can Change Strategies for Optimal Opinion Control in the Voter Model.

TL;DR: This paper investigates this transition between hub and low-degree node control for heterogeneous undirected networks and gives analytical and numerical arguments for the existence of two control regimes.
Journal ArticleDOI

Dynamics of opinion formation under majority rules on complex social networks.

TL;DR: It is revealed that in densely-connected social networks, all individuals tend to converge to having a single global consensus, however, in sparsely-connected networks, the systems may exhibit rich properties where coexistence of different opinions, and more interestingly, multiple steady states of coexistence can be observed.
References
More filters
Journal ArticleDOI

A Simple Model of Herd Behavior

TL;DR: In this article, the authors analyze a sequential decision model in which each decision maker looks at the decisions made by previous decision makers in taking her own decision, and they show that the decision rules that are chosen by optimizing individuals will be characterized by herd behavior.
Proceedings ArticleDOI

Maximizing the spread of influence through a social network

TL;DR: An analysis framework based on submodular functions shows that a natural greedy strategy obtains a solution that is provably within 63% of optimal for several classes of models, and suggests a general approach for reasoning about the performance guarantees of algorithms for these types of influence problems in social networks.
Journal ArticleDOI

A New Product Growth for Model Consumer Durables

TL;DR: A growth model for the timing of initial purchase of new products is developed and tested empirically against data for eleven consumer durables, and a long-range forecast is developed for the sales of color television sets.
Journal ArticleDOI

Maximizing the Spread of Influence through a Social Network

TL;DR: The problem of finding the most influential nodes in a social network is NP-hard as mentioned in this paper, and the first provable approximation guarantees for efficient algorithms were provided by Domingos et al. using an analysis framework based on submodular functions.
Book

Interacting Particle Systems

TL;DR: The construction, and other general results are given in this paper, with values in [0, ] s. The voter model, the contact process, the nearest-particle system, and the exclusion process.
Related Papers (5)