Diffusion of innovations in social networks

While social networks do affect diffusion of innovations, the exact nature of these effects are far from clear, and, in many cases, there exist conflicting hypotheses among researchers. In this paper, we focus on the linear threshold model where each individual requires exposure to (potentially) mul...

Full description

Saved in:
Bibliographic Details
Published in:2011 50th IEEE Conference on Decision and Control and European Control Conference pp. 2329 - 2334
Main Authors: Acemoglu, D., Ozdaglar, A., Yildiz, E.
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2011
Subjects:
Analytical models
Economics
Electric shock
Social network services
Stochastic processes
Technological innovation
Upper bound
ISBN:9781612848006, 1612848001
ISSN:0191-2216
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:While social networks do affect diffusion of innovations, the exact nature of these effects are far from clear, and, in many cases, there exist conflicting hypotheses among researchers. In this paper, we focus on the linear threshold model where each individual requires exposure to (potentially) multiple sources of adoption in her neighborhood before adopting the innovation herself. In contrast with the conclusions in the literature, our bounds suggest that innovations might spread further across networks with a smaller degree of clustering. We provide both analytical evidence and simulations for our claims. Finally, we propose an extension for the linear threshold model to better capture the notion of path dependence, i.e., a few minor shocks along the way could alter the course of diffusion significantly.
ISBN:9781612848006
1612848001
ISSN:0191-2216
DOI:10.1109/CDC.2011.6160999