Introduction to Markov Chains With Special Emphasis on Rapid Mixing

By E. Behrends. 2013

65 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/752e4af2b6cb4bed8882d35d2ba5518c115a2e4d

How researchers see this paper

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

1. Binghui Wang
2. Xiaowei Yang
3. Michael Sirivianos
4. Tiago Pregueiro
5. Qiang Cao
6. Neil Zhenqiang Gong
7. Jinyuan Jia
8. Le Zhang

Citations in the corpus

• Aiding the Detection of Fake Accounts in Large Scale Social Online Services (2012, methodology): “In this case, random walks on the graph can be modeled as an irreducible and aperiodic Markov chain [16].”