Metrics and Models of Persuasion over Networks
Project Leader(s)
UC Santa Barbara
Research Focus Area
The propagation of information and how it can lead to evolving sentiment in a network. Nodes marked in red and those in blue hold different sentiments on a topic. Multiple time slices on one network are shown.
Networks of different types are commonplace. Interactions over these networks are an active source for the formation and shift in opinions. How opinions are formed, how they change, and how they relate to the network structure and flow of information are crucial to understanding the fundamentals of interactions between network and society. In this project we study these research problems in the context of a number of network datasets and develop new methods for dynamic network analysis. Potential benefits include the ability to predict change in opinions and to develop robust networks.
Date Completed
