Social Learning and the Diffusion of Information in Social Networks
Abstract
The last decade has given rise to a global information environment enabled by widely available communication devices. This relatively new ability to communicate across physical and geographic boundaries has opened the door to the propagation of information at unprecedented levels. However, the dynamics of diffusion of information, behaviors, or innovations in socialnetworks is still poorly understood. There is an urgent need to extend and deepen models suggested in economics, sociology, and computer science, give them more depth and precision, and test them against real data.This project aims to gain a more comprehensive understanding of the diffusion and adoption of ideas, actions, and norms in a social network. It includes fundamental theoretical analysis as well as the design and implementation of an online environment to enable experimentation and collection of data. The project combines three components: (i) understanding social learning withlimited information sharing, (ii) network diffusion, seeding, and centrality measures, and social dynamics and the evolution of norms.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 20, 2019
- Source ID
- N000141912550
Entities
People
- Amin Saberi
Organizations
- Office of Naval Research
- Stanford University
- United States Navy