Group Opinion Consensus Under Moderate Guidance
Bibliographic Data
| ID | 22107758 |
|---|---|
| Authors | Chenxi Ge (Huazhong University of Science and Technology), Yutong Liu (0000-0001-5912-484X, Huazhong University of Science and Technology), Xi Chen (0000-0002-2058-0351, Huazhong University of Science and Technology) |
| Year | 2024 |
| Volume | 11 |
| Issue | 2 |
| Pages | 2410-2417 |
| Publication date | 2024-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Transactions on Computational Social Systems (JOURNAL) |
| Journal identifiers | ISSN: 2329-924X • E-ISSN: 2373-7476 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/tcss.2023.3289399 |
| OpenAlex | W4384284097 |
| Language | EN |
| References cited | 35 |
Opinions evolve rapidly on the Internet, where adverse opinion evolution such as echo chamber could occur. To facilitate group consensus formation, many studies on opinion guidance strategy have been conducted. However, previous guidance strategies are to impose target opinions on the public, without considering the individuals’ acceptance of the target opinions. To overcome this shortcoming, we propose an opinion dynamics model based on a moderate opinion guidance strategy. Through the simulation result, we illustrate the effect of guidance ratio and guidance strength on group consensus level. Moreover, we explain the counterintuitive result of increasing guidance strength by analyzing the opinion formation process. Then, we verify the stability of the moderate guidance in multiple networks and compare it with the traditional degree guidance in various network environments. The results show that the moderate guidance can not only effectively guide most individuals’ opinion to reach a consensus in the short term, but also guide an individual who has a large deviation to target opinion through long-term guidance
Consensus conference · Library science · Chemistry · Complex Network Analysis Techniques · Computer Science · Misinformation and Its Impacts · Opinion Dynamics and Social Influence
Identifying Opinion Leaders to Promote Behavior Change
Reaching a Consensus
Mixing beliefs among interacting agents
The Centrality Index of a Graph
A formal theory of social power.
The echo chamber is overstated
Response expectancy as a determinant of experience and behavior
A Set of Measures of Centrality Based on Betweenness
Opinion Formation by Informed Agents
Small Worlds and Cultural Polarization
Filter Bubbles, Echo Chambers, and Online News Consumption
Accelerating the Diffusion of Innovations Using Opinion Leaders
Cyber-Extremism
| Citation velocity | historical |
|---|---|
| Highly cited | No |