Opinion Formation by Informed Agents
Bibliographic Data
| ID | 7531413 |
|---|---|
| Authors | Mohammad Afshar (0000-0003-1326-6337, corresponding author), Mohammad Afshar and Masoud Asadpour (corresponding author), Masoud Asadpour (0000-0003-0299-4523) |
| Year | 2010 |
| Volume | 13 |
| Issue | 4 |
| Publication date | 2010-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Artificial Societies and Social Simulation (JOURNAL) |
| Journal identifiers | ISSN: 1460-7425 • E-ISSN: 1460-7425 |
| Publisher | Journal of Artificial Societies and Social Simulation (PUBLISHER) |
| DOI | 10.18564/jasss.1665 |
| OpenAlex | W4210849352 |
| Language | EN |
| Citations received | 10 |
| References cited | 21 |
Opinion formation and innovation diffusion have gained lots of attention in the last decade due to its application in social and political science. Control of the diffusion process usually takes place using the most influential people in the society, called opinion leaders or key players. But the opinion leaders can hardly be accessed or hired for spreading the desired opinion or information. This is where informed agents can play a key role. Informed agents are common people, not distinguishable from the other members of the society that act in coordination. In this paper we show that informed agents are able to gradually shift the public opinion toward a desired goal through microscopic interactions. In order to do so they pretend to have an opinion similar to others, but while interacting with them, gradually and intentionally change their opinion toward the desired direction. In this paper a computational model for opinion formation by the informed agents based on the bounded confidence model is proposed. The effects of different parameter settings including population size of the informed agents, their characteristics, and network structure, are investigated. The results show that social and open-minded informed agents are more efficient than selfish or closed-minded agents in control of the public opinion
Business · Computer security · Control (management · Key (lock · Opinion leadership · Order (exchange · Political science · Politics · Population · Process (computing · Public opinion · Public relations · Sociology · Complex Network Analysis Techniques · Computer Science · Evolutionary Game Theory and Cooperation · Law · Opinion Dynamics and Social Influence · Psychology · Artificial Intelligence
Group Opinion Consensus Under Moderate Guidance
Social Influence and the Normalization of Surveillance Capitalism
Cross-platform opinion dynamics in competitive travel advertising
Impact of Social Network Structures on Uncertain Opinion Formation
Optimal Selection of Informed Agents for Influence Opposition
Opinion Formation and Targeting When Persuaders Have Extreme and Centrist Opinions
Classification-Based Opinion Formation Model Embedding Agents’ Psychological Traits
Phase Transition in the Social Impact Model of Opinion Formation in Scale-Free Networks
Dynamic equity theory
Dynamics of Uncertain Opinion Formation
Identifying Opinion Leaders to Promote Behavior Change
Identifying sets of key players in a social network
Complex networks
Statistical physics of social dynamics
Mixing beliefs among interacting agents
Finding and evaluating community structure in networks
Collective dynamics of ‘small-world’ networks
Opinion Formation Models
The Foot-in-the-Door Compliance Procedure
The psychology of social impact
The Dissemination of Culture
Accelerating the Diffusion of Innovations Using Opinion Leaders
| Unique citing works | 10 |
|---|---|
| Citations per year | 0.91 |
| Citation span | 2015 - 2024 (10) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 10 |