间接的社会影响和创新的传播:一种实验方法
Manuel Miranda1, María Pereda2,3, Angel Sánchez3,4
1Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (UIB-CSIC), Palma de Mallorca 07122, Illes Balears, Spain.
PNAS nexus
|October 7, 2024
概括
创新采用受到不仅仅是直接的社会关系的影响. 间接的社会联系,即使在第三层,也显著影响了采用率,揭示了复杂的传播过程.
科学领域:
- 社交网络分析 社交网络分析
- 创新传播研究 创新传播研究
- 行为经济学是一种行为经济学.
背景情况:
- 了解创新传播对于社会进步至关重要.
- 传统的模型往往只关注直接的社交网络互动.
- 间接社会影响的作用仍然不太被探索.
研究的目的:
- 通过实验和理论研究直接和间接社会影响对创新采用的影响.
- 量化影响力随着社会距离的增加而下降.
- 挑战假设,只有直接关系驱动采用动态的假设.
主要方法:
- 进行了21次实验性会议,有超过590名参与者.
- 设计实验来测量不同社交网络距离的影响.
- 开发并应用了一个包含直接和间接网络交互的数学模型.
主要成果:
- 创新采用率受到直接社交网络邻居 (第二层和第三层) 以外的个人显著的影响.
- 影响力的强度随着社会距离的减少而下降:第二级影响力为~2/3,第三级影响力为~1/3的直接影响力.
- 数学模型成功地适应了实验数据,量化了影响衰变.
结论:
- 在采用创新方面,社会影响力超出了直接关系.
- 间接的社会联系在传播过程中发挥着重要作用.
- 收养是一个复杂的现象,是由各种社会压力驱动的.
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