OPAvion: Mining and Visualization in Large Graphs
Summary: OPAvion is a scalable graph mining and visualization workflow for massive graphs (millions–billions of nodes). It combines Pegasus offline statistics on disk-resident graphs (PageRank, components, degree, triangles), OddBall anomaly mining, and Apolo interactive exploration from seeds or detected anomalies (demo on Stack Overflow). (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Leman Akoglu (Carnegie Mellon University)
- 2. Duen Horng Chau (Carnegie Mellon University)
- 3. U Kang (Carnegie Mellon University)
- 4. Danai Koutra (Carnegie Mellon University)
- 5. Christos Faloutsos (Carnegie Mellon University)
BibTeX Citation
@inproceedings{akoglu_sigmod12,
title = {{OPAvion: Mining and Visualization in Large Graphs}},
author = {Akoglu, Leman and Chau, Duen Horng and Kang, U and Koutra, Danai and Faloutsos, Christos},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213941},
url = {https://dl.acm.org/doi/10.1145/2213836.2213941},
year = {2012}
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