Multityped Community Discovery in Time-Evolving Heterogeneous Information Networks Based on Tensor Decomposition

The heterogeneous information networks are omnipresent in real-world applications, which consist of multiple types of objects with various rich semantic meaningful links among them. Community discovery is an effective method to extract the hidden structures in networks. Usually, heterogeneous information networks are time-evolving, whose objects...