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CHASSIS: Conformity Meets Online Information Diffusion

Summary: CHASSIS extends Hawkes process to capture two forms of conformity (informational and normative) in online diffusion. It introduces a semi-parametric inference method and outperforms conformity-unaware baselines on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6057
Venue
SIGMOD
Year
2020
Pagerank
5.9425753e-05
Overall Rank
6,214 | 57.37%
DOI
10.1145/3318464.3389780

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{li_sigmod20,
        title = {{CHASSIS: Conformity Meets Online Information Diffusion}},
        author = {Li, Hui and Li, Hui and Bhowmick, Sourav S},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389780},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389780},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
11,620 Popularity Prediction for Social Media over Arbitrary Time Horizons 2022 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

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

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