A Data-Based Approach to Social Influence Maximization
Summary: Introduces credit distribution, a data-driven model using historical propagation traces to learn influence flow and estimate spread. Shows NP-hardness and submodularity of the induced spread; offers a scalable approximation outperforming graph-only baselines. (summarized by gpt-5-nano on Feb 09 2026)
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