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A scalable Approach to Size-independent Network Similarity

A scalable Approach to Size-independent Network Similarity. MOTIVATION. Anomaly detection: different models?. 1. REQUIREMENTS P1. effectiveness size-independence intuitiveness interpretability P2. scalability. Discontinuity Detection. 2. Day 1 Day 2 Day 3 Day 4.

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A scalable Approach to Size-independent Network Similarity

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  1. A scalable Approach to Size-independent Network Similarity MOTIVATION Anomaly detection: different models? 1 • REQUIREMENTS • P1. effectiveness • size-independence • intuitiveness • interpretability • P2. scalability Discontinuity Detection 2 Day 1 Day 2Day 3Day 4 Michele Berlingerio, Danai Koutra, TinaElliasi-Rad, Christos Faloutsos PROBLEM DEFINITION • INPUT: 2 anonymized networks • GIVEN: node IDs • NOT GIVEN: side-info class labels • OUTPUT: structural similarity score

  2. A scalable Approach to Size-independent Network Similarity deg, cc Eego, Nego OUR APPROACH: NetSimile • P1. effectiveness • size-independence • intuitiveness • interpretability • avoids the node-correspondence problem • P2. scalability similarityscore Michele Berlingerio, Danai Koutra, TinaElliasi-Rad, Christos Faloutsos

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