A two-stage regularization framework for heterogeneous event networks.

•Event analysis from news is a promising task to understand complex social phenomena.•Heterogeneous networks represent events by combining text, time and location features.•We present some grand challenges for event classification in heterogeneous networks.•We propose an entropy-based scheme to weight the importance of the network relations.•Our proposed two-stage regularization framework outperforms existing approaches.