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Assessing and Ranking Structural Correlations in Graphs

Summary: gScore: a hitting-time based measure to assess and rank structural correlations of events in heterogeneous graphs. Scalable with sampling/approximation; validated on DBLP and TaoBao, revealing events strongly aligned with the network structure. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4506
Venue
SIGMOD
Year
2011
Pagerank
7.7066337e-05
Overall Rank
3,149 | 78.40%
DOI
10.1145/1989323.1989421

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{guan_sigmod11,
        title = {{Assessing and Ranking Structural Correlations in Graphs}},
        author = {Guan, Ziyu and Wu, Jian and Zhang, Qing and Singh, Ambuj and Yan, Xifeng},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989421},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989421},
        year = {2011}
}

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