Algorithmic Modeling of Social Interactions Over Networks
Technical Report,15 Aug 2011,14 Aug 2014
University of California - San Diego La Jolla United States
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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.
- Computer Systems