Algorithmic Modeling of Social Interactions Over Networks
Abstract
We conducted experimental investigations and formulated mathematical theories of human coordination over networks with information constraints. The human population was modeled as agents that could make constrained decisions in a distributed coordination game scenario. In our experiments agents could only communicate and interact over a network. We designed different coordination algorithms inspired by laboratory experiments and evaluated their performance. We also investigated the notions of common knowledge and how this leads to strategic decision making and state dependent equilibria in networks. Finally, we started the investigation of the spread of emotions over social networks using large data sets from on-line social media.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 10, 2015
- Accession Number
- AD1007830
Entities
People
- Massimo Franceschetti
Organizations
- University of California, San Diego