Codiffusion of Technologies in Social Networks

• 成果类型: Article
• 署名作者: Lazzati, Natalia
• 署名单位: University of California System; University of California Santa Cruz
• 刊物名称: AMERICAN ECONOMIC JOURNAL-MICROECONOMICS
• ISSN/ISSBN: 1945-7669
• DOI: 10.1257/mic.20180220
• 发表日期: 2020
• 页码: 193-228
• 关键词: statistical-mechanics; diffusion; INFORMATION; CHOICE; games

摘要

This paper studies the diffusion process of two complementary technologies among people who are connected through a social network. It characterizes adoption rates over time for different initial allocations and network structures. In doing so, we provide some microfoundations for the stochastic formation of consideration sets. We are particularly interested in the following question: suppose we want to maximize technology diffusion and have a limited number of units of each of the two technologies to initially distribute-how should we allocate these units among people in the social network?