An Agent-Based Model of Information Diffusion Final Report

نویسندگان

  • Neža Vodopivec
  • Jeffrey Herrmann
چکیده

Understanding how information spreads throughout a population can help public health officials improve how they communicate with the public in emergency situations. In this project, I implement a fast, memory-efficient agent-based information diffusion model inspired by the Bass model. I compare my discrete-time simulation to a traditional differential-equation version of the Bass model. Finally, I test my model by seeing how well it describes the real-life spread of information through a Twitter network.

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تاریخ انتشار 2013