简介:Temporal networks have become ubiquitous because of the numerous applications that generate network structures in a time-dependent way. In recent years, a significant amount of work has been done on the area of evolutionary network analysis, which examines various problems in the context of network evolution, including but not limited to anomaly detection, link prediction, node classification. Although many individual solutions exist for these problems, a broader question is whether we can directly characterize the structure of the network as a function of time. The ability to characterize the structure of the network as a function of time is crucial in using it in different application settings, because such a characterization can capture very rich information about the structure of the underlying network. In this talk, I will present challenges facing dynamic network modeling and our solutions.