| 来源类型 | FEEM working papers "Note di lavoro" series |
| 规范类型 | 论文 |
| Naïve Learning in Social Networks: Convergence, Influence and Wisdom of Crowds | |
| Matthew O. Jackson; Benjamin Golub | |
| 发表日期 | 2007 |
| 出处 | Climate Change and Sustainable Development |
| 出版年 | 2007 |
| 语种 | 英语 |
| 摘要 | We study learning and influence in a setting where agents communicate according to an arbitrary social network and naïvely update their beliefs by repeatedly taking weighted averages of their neighbors' opinions. A focus is on conditions under which beliefs of all agents in large societies converge to the truth, despite their naïve updating. We show that this happens if and only if the influence of the most influential agent in the society is vanishing as the society grows. Using simple examples, we identify two main obstructions which can prevent this. By ruling out these obstructions, we provide general structural conditions on the social network that are sufficient for convergence to truth. In addition, we show how social influence changes when some agents redistribute their trust, and we provide a complete characterization of the social networks for which there is a convergence of beliefs. Finally, we survey some recent structural results on the speed of convergence and relate these to issues of segregation, polarization and propaganda. |
| 特色分类 | D85,D83,A14,L14,Z13 |
| 关键词 | Social Networks,Learning,Diffusion,Bounded Rationality |
| URL | https://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/naive-learning-in-social-networks-convergence-influence-and-wisdom-of-crowds/ |
| 来源智库 | Fondazione Eni Enrico Mattei (Italy) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/117482 |
| 推荐引用方式 GB/T 7714 | Matthew O. Jackson,Benjamin Golub. Naïve Learning in Social Networks: Convergence, Influence and Wisdom of Crowds. 2007. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| NDL2007-064.pdf（577KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
