Perseus: An Interactive Large-Scale Graph Mining and Visualization Tool
Summary: Perseus is an interactive, large-scale graph mining/visualization system that uses Hadoop for offline extraction of invariants (degree, PageRank, eigenvectors) and distributions. It reveals a node’s neighborhood to guide exploration of normal and anomalous behavior in multi-million-edge networks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Danai Koutra (Carnegie Mellon University)
- 2. Di Jin (Carnegie Mellon University)
- 3. Yuanchi Ning (Uber)
- 4. Christos Faloutsos (Carnegie Mellon University)
BibTeX Citation
@article{koutra_vldb15,
title = {{Perseus: An Interactive Large-Scale Graph Mining and Visualization Tool}},
author = {Koutra, Danai and Jin, Di and Ning, Yuanchi and Faloutsos, Christos},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1924--1927},
doi = {10.14778/2824032.2824102},
url = {https://doi.org/10.14778/2824032.2824102},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,845 | Graph Querying Meets HCI: State of the Art and Future Directions | 2017 | SIGMOD | 5.5332653e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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| 8 | 13,658 | Managing and Mining Large Graphs: Patterns and Algorithms | 2012 | SIGMOD |
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| 10 | 13,662 | OPAvion: Mining and Visualization in Large Graphs | 2012 | SIGMOD |