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.

Additional Metadata
Persistent URL dx.doi.org/10.3233/978-1-60750-606-5-1121
Series Frontiers in Artificial Intelligence and Applications
Citation
Ouzienko, V. (Vladimir), Guo, Y, & Obradovic, Z. (Zoran). (2010). Prediction of attributes and links in temporal social networks. In Frontiers in Artificial Intelligence and Applications. doi:10.3233/978-1-60750-606-5-1121