Vladimir Ouzienko, Prediction of Attributes and Links in Temporal Social Networks
Contents
Citation
Vladimir Ouzienko, Yuhong Guo and Zoran Obradovic. Prediction of Attributes and Links in Temporal Social Networks. Proceeding of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence.
Online Version
Prediction of Attributes and Links in Temporal Social Networks
Datasets
Experiments were conducted on two synthetic datasets and two real life datasets - Delinquency and Teenagers. The Delinquency consists of 4 temporal observation of 26 students where for each observation, the researchers collected delinquency measure (5 points scale score). The Teenagers consists of 3 temporal observations of 50 students, where for each observation the measurement of the students alcohol consumption was taken (also 5 points scale score).
Summary
This paper comes up a new model named Temporal Exponential Random Graphical Model(tERGM) to predict the attributes and links in Temporal Social Network.
