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Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks

Summary: Jointly selects top-k seeds and top-r tags to maximize influence in a target user set, modeling content-dependent diffusion (e.g., hashtags). To cope with intractability, it delivers heuristics with indexing and optimization for scalable performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5653
Venue
SIGMOD
Year
2018
Pagerank
5.3704111e-05
Overall Rank
8,795 | 39.66%
DOI
10.1145/3183713.3199670

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ke_sigmod18,
        title = {{Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks}},
        author = {Ke, Xiangyu and Khan, Arijit and Cong, Gao},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3199670},
        url = {https://dl.acm.org/doi/10.1145/3183713.3199670},
        year = {2018}
}

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