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Types of approaches: The various approaches proposed for anomaly detection in dynamic unattributed networks can be grouped into three categories: matrix/tensor decomposition-based, community-based, and probability-based approaches.
(a) Matrix/Tensor decomposition-based approaches: The decom- position-based methods identify anomalies by decomposing the adjacency matrix or tensor representation of the dynamic net- works and by analyzing the eigenvectors, eigenvalues, or singular values appropriately (Sun et al.
(2006) introduced tensor streams to solve the streaming problems in dynamic networks.
Tensors are generalizations of matrices.
A dynamic network is represented as a third order tensor in which the first two dimensions denote an adjacency matrix and the third dimension denotes the dynamics of the network.
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