Facilitating innovation diffusion in social networks using dynamic norms

被引:5
|
作者
Zino, Lorenzo [1 ]
Ye, Mengbin [2 ]
Cao, Ming [1 ]
机构
[1] Univ Groningen, Engn & Technol Inst Groningen, Nijenborgh 4, NL-9747 AG Groningen, Netherlands
[2] Curtin Univ, Ctr Optimisat & Decis Sci, Kent St, Bentley, WA 6102, Australia
来源
PNAS NEXUS | 2022年 / 1卷 / 05期
基金
欧洲研究理事会;
关键词
innovation diffusion; dynamic norms; coordination games; network dynamics; COORDINATION; CLIMATE; FADS;
D O I
10.1093/pnasnexus/pgac229
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Dynamic norms have recently emerged as a powerful method to encourage individuals to adopt an innovation by highlighting a growing trend in its uptake. However, there have been no concrete attempts to understand how this individual-level mechanism might shape the collective population behavior. Here, we develop a framework to examine this by encapsulating dynamic norms within a game-theoretic mathematical model for innovation diffusion. Specifically, we extend a network coordination game by incorporating a probabilistic mechanism where an individual adopts the action with growing popularity, instead of the standard best-response update rule; the probability of such an event captures the population's "sensitivity" to dynamic norms. Theoretical analysis reveals that sensitivity to dynamic norms is key to facilitating social diffusion. Small increases in sensitivity reduces the advantage of the innovation over status quo or the number of initial innovators required to unlock diffusion, while a sufficiently large sensitivity alone guarantees diffusion.
引用
收藏
页数:9
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