Networks of Coupled Oscillators and Social Network Structures of Teams
Abstract
Networks are ubiquitous in nature and engineering, with applications in areas such as modeling power grids, population dynamics, and social networks. Applying network science to complex dynamical systems provides us with powerful tools to study the interactions between agents. Moreover, these tools can also be used to study the nonlinear dynamics of the network itself and he combination of dynamics over networks and dynamics of networks paves the way for new models that accurately capture the rich behavior in sociological processes. In this thesis, we first study synchronization in networks of coupled oscillators. Second we model and analyze the dynamics of influence networks of human teams.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 2020
- Accession Number
- AD1229249
Entities
People
- Elizabeth Y. Huang
Organizations
- University of California, Santa Barbara