Learning the graph of epidemic cascades

By Praneeth Netrapalli, Sujay Sanghavi. 2012

173 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Hongyuan Zha
2. Le Song
3. Nan Du
4. Manuel Gomez-Rodriguez
5. Kian-Lee Tan
6. Ju Fan
7. Yuchen Li
8. Yanhao Wang

In Statistical and Nonlinear Physics

1. Le Song
2. Nan Du
3. Hongyuan Zha
4. Kian-Lee Tan
5. Ju Fan
6. Yuchen Li
7. Yanhao Wang
8. Manuel Gomez-Rodriguez

Citations in the corpus

• Scalable Influence Estimation in Continuous-Time Diffusion Networks (2013, methodology): “For discrete-time model, we learn the infection probabilities using [24] for IC, SP1M and PMIA.”
• Influence Maximization on Social Graphs: A Survey (2018, background): “In [27], an information-theoretical lower bound for the number of cascades needed to learn the IC model is established.”