Influence Maximization with Bandits

@article{Vaswani2015InfluenceMW,
  title={Influence Maximization with Bandits},
  author={Sharan Vaswani and Laks V. S. Lakshmanan},
  journal={CoRR},
  year={2015},
  volume={abs/1503.00024}
}
We consider the problem of influence maximization, the problem of maximizing the number of people that become aware of a product by finding the ‘best’ set of ‘seed’ users to expose the product to. Most prior work on this topic assumes that we know the probability of each user influencing each other user, or we have data that lets us estimate these influences. However, this information is typically not initially available or is difficult to obtain. To avoid this assumption, we adopt a… CONTINUE READING
Highly Cited
This paper has 28 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 14 times over the past 90 days. VIEW TWEETS
22 Citations
35 References
Similar Papers

Citations

Publications citing this paper.

Similar Papers

Loading similar papers…