Portfolio Optimization for Influence Spread

  title={Portfolio Optimization for Influence Spread},
  author={Naoto Ohsaka and Yuichi Yoshida},
Motivated by viral marketing, stochastic diffusion processes that model influence spread on a network have been studied intensively. The primary interest in such models has been to find a seed set of a fixed size that maximizes the expected size of the cascade from it. Practically, however, it is not desirable to have the risk of ending with a small cascade, even if the expected size of the cascade is large. To address this issue, we adopt conditional value at risk (CVaR) as a risk measure, and… CONTINUE READING
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