DAPA-V10: Discovery and Analysis of Patterns and Anomalies in Volatile Time-Evolving Networks
نویسندگان
چکیده
Challenges: • Volatility: Network changes drastically, frequently. • Sparsity: A single snapshot is extremely sparse. • Scalability: Algorithms must be efficient for large t k f t ti ll illi f b • Found 6 persistent patterns that represent connected components of employees with regular communication. • Substructures of edges within and between persistent patterns are monitored over time for anomalous behavior. • Anomalies found by DAPA-V10 correspond with events surrounding the Enron scandal. The close correspondence illustrates the effectiveness of our approach v v = = v40927 v62198 t = 13 t = 16 v98364 v39872 t = 20 t = 21 v18964 v38719 t = 20 t = 25
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