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

TL;DR
This paper identifies a subtle flaw in the martingale analysis of the IMM influence maximization algorithm and proposes minor fixes that slightly impact its runtime.
Contribution
It uncovers a subtle issue in IMM's analysis and offers practical workarounds requiring minimal algorithm modifications.
Findings
Identified a subtle flaw in IMM's martingale analysis.
Proposed two minor fixes to address the issue.
Fixes incur slight runtime penalties.
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.
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Taxonomy
TopicsError Correcting Code Techniques · Neural Networks and Applications · Advanced Adaptive Filtering Techniques
