Abstract Link prediction is a well-studied technique for inferring the missing edges between two nodes in some static representation of network. In modern day social networks, timestamps associated with each link can be used to predict future links so-far unconnected nodes. these so-called temporal we speak . This paper presents systematic investigation supervised on 26 temporal, structurally d...

This paper assesses the predictability of network traffic by considering two metrics: 1) how far into the future a traffic rate process can be predicted for a given error constraint; 2) what the minimum prediction error is over a specified prediction time interval. The assessment is based on two stationary traffic models: the Auto-Regressive Moving Average (ARMA) model and the Markov-Modulated ...