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Hindering Influence Diffusion of Community

Summary: Introduces interaction frequency, a metric for community-level diffusion of influence. Proposes a b-node removal objective to minimize remaining interaction frequency and yields a polynomial-time algorithm with experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6455
Venue
SIGMOD
Year
2022
Pagerank
5.2755515e-05
Overall Rank
9,396 | 35.54%
DOI
10.1145/3514221.3520250

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{xie_sigmod22,
        title = {{Hindering Influence Diffusion of Community}},
        author = {Xie, Jiadong},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3520250},
        url = {https://dl.acm.org/doi/10.1145/3514221.3520250},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,286 Fast and Space-Efficient Parallel Algorithms for Influence Maximization 2024 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
4,331 Global Reinforcement of Social Networks: The Anchored Coreness Problem 2020 SIGMOD 6.7561061e-05
Previous Page 1 / 1 Next

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