The Speed of Innovation Diffusion in Social Networks

Itai Arieli, Yakov Babichenko, Ron Peretz, H. Peyton Young

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

New ways of doing things often get started through the actions of a few innovators, then diffuse rapidly as more and more people come into contact with prior adopters in their social network. Much of the literature focuses on the speed of diffusion as a function of the network topology. In practice, the topology may not be known with any precision, and it is constantly in flux as links are formed and severed. Here, we establish an upper bound on the expected waiting time until a given proportion of the population has adopted that holds independently of the network structure. Kreindler and Young (2014) demonstrated such a bound for regular networks when agents choose between two options: the innovation and the status quo. Our bound holds for directed and undirected networks of arbitrary size and degree distribution, and for multiple competing innovations with different payoffs.

Original languageEnglish
Pages (from-to)569-594
Number of pages26
JournalEconometrica
Volume88
Issue number2
Early online date2018
DOIs
StatePublished - 1 Mar 2020

Bibliographical note

Publisher Copyright:
© 2020 The Econometric Society

Keywords

  • Innovation diffusion
  • social networks
  • speed of equilibrium convergence

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