OddBall
OddBall: Spotting Anomalies in Weighted Graphs. Given a large, weighted graph, how can we find anomalies? Which rules should be violated, before we label a node as an anomaly? We propose the oddball algorithm, to find such nodes. The contributions are the following: (a) we discover several new rules (power laws) in density, weights, ranks and eigenvalues that seem to govern the so-called “neighborhood sub-graphs” and we show how to use these rules for anomaly detection; (b) we carefully choose features, and design oddball, so that it is scalable and it can work un-supervised (no user-defined constants) and (c) we report experiments on many real graphs with up to 1.6 million nodes, where oddball indeed spots unusual nodes that agree with intuition.
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References in zbMATH (referenced in 11 articles )
Showing results 1 to 11 of 11.
Sorted by year (- Eswar, Srinivas; Kannan, Ramakrishnan; Vuduc, Richard; Park, Haesun: ORCA: outlier detection and robust clustering for attributed graphs (2021)
- Riahi, Fatemeh; Schulte, Oliver: Model-based exception mining for object-relational data (2020)
- Tosyali, Ali; Kim, Jinho; Choi, Jeongsub; Kang, Yunyi; Jeong, Myong K.: New node anomaly detection algorithm based on nonnegative matrix factorization for directed citation networks (2020)
- Bhamidi, Shankar; Jin, Jimmy; Nobel, Andrew: Change point detection in network models: preferential attachment and long range dependence (2018)
- Zhou, Dawei; Karthikeyan, Arun; Wang, Kangyang; Cao, Nan; He, Jingrui: Discovering rare categories from graph streams (2017)
- Chan, Hau; Akoglu, Leman: Optimizing network robustness by edge rewiring: a general framework (2016)
- Davis, Michael Charles; Ma, Zhanyu; Liu, Weiru; Miller, Paul; Hunter, Ruth; Kee, Frank: Generating realistic labelled, weighted random graphs (2015)
- Koutra, Danai; Kang, U.; Vreeken, Jilles; Faloutsos, Christos: Summarizing and understanding large graphs (2015)
- Li, Zhongmou; Xiong, Hui; Liu, Yanchi: Mining blackhole and volcano patterns in directed graphs: a general approach (2012)
- Tong, Hanghang; Lin, Ching-yung: Non-negative residual matrix factorization: problem definition, fast solutions, and applications (2012)
- Akoglu, Leman; McGlohon, Mary; Faloutsos, Christos: Oddball: Spotting anomalies in weighted graphs (2010) ioport