Recovering temporally rewiring networks: a model-based approach
Proceedings of the 24th international conference on Machine learning
Discrete temporal models of social networks
ICML'06 Proceedings of the 2006 conference on Statistical network analysis
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The analysis of social networks often assumes the time invariant scenario while in practice node attributes and links in such networks often evolve over time. In this paper, we propose a new method to predict node attributes and links in temporal networks.