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An Issue in the Martingale Analysis of the Influence Maximization Algorithm IMM

  • Wei ChenEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11280)

Abstract

This paper explains a subtle issue in the martingale analysis of the IMM algorithm, a state-of-the-art influence maximization algorithm. Two workarounds are proposed to fix the issue, both requiring minor changes on the algorithm and incurring a slight penalty on the running time of the algorithm.

Notes

Acknowledgment

The author would like to thank Jian Li for helpful discussions and verification on the issue explained in the paper.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Microsoft ResearchBeijingChina

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