| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP10120 |
| DP10120 Gossip: Identifying Central Individuals in a Social Network | |
| Abhijit Banerjee; Matthew O. Jackson; Esther Duflo; Arun G. Chandrasekhar | |
| 发表日期 | 2014-08-31 |
| 出版年 | 2014 |
| 语种 | 英语 |
| 摘要 | Can we identify the members of a community who are best- placed to diffuse information simply by asking a random sample of in- dividuals? We show that boundedly-rational individuals can, simply by tracking sources of gossip, identify those who are most central in a network according to "diffusion centrality", which nests other standard centrality measures. Testing this prediction with data from 35 Indian villages, we find that respondents accurately nominate those who are diffusion central (not just those with many friends). Moreover, these nominees are more central in the network than traditional village leaders and geographically central individuals. |
| 主题 | Development Economics |
| 关键词 | Centrality Diffusion Gossip Influence Networks Social learning |
| URL | https://cepr.org/publications/dp10120 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/538953 |
| 推荐引用方式 GB/T 7714 | Abhijit Banerjee,Matthew O. Jackson,Esther Duflo,et al. DP10120 Gossip: Identifying Central Individuals in a Social Network. 2014. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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