Prediction of attributes and links in temporal social networks
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.
|Frontiers in Artificial Intelligence and Applications|
|Organisation||School of Computer Science|
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