Sensitivity of Diffusion Dynamics to Network Uncertainty

  title={Sensitivity of Diffusion Dynamics to Network Uncertainty},
  author={Abhijin Adiga and Chris J. Kuhlman and Henning S. Mortveit and Anil Kumar S Vullikanti},
  journal={J. Artif. Intell. Res.},
Simple diffusion processes on networks have been used to model, analyze and predict diverse phenomena such as spread of diseases, information and memes. More often than not, the underlying network data is noisy and sampled. This prompts the following natural question: how sensitive are the diffusion dynamics and subsequent conclusions to uncertainty in the network structure? In this paper, we consider two popular diffusion models: Independent cascades (IC) model and Linear threshold (LT) model… CONTINUE READING
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