  TV series such as HBO's Game of Thrones have seen a high number of dedicated
followers, mostly due to the dramatic murders of the most important characters.
In our work, we try to predict killer and victim pairs using data about
previous kills and additional metadata. We construct a network where two
character nodes are linked if one killed the other and use a link prediction
framework to evaluate different techniques for kill predictions. Lastly, we
compute various network properties on a social network of characters and use
them as features in conjunction with classic data mining techniques. Due to the
small size of the dataset and the somewhat random kill distribution, we cannot
predict much with standard indices alone, although using them in conjunction
with additional rules based on degrees works surprisingly well. The features we
compute on the social network help the classic machine learning approaches, but
do not yield very accurate predictions. The best results overall are achieved
using indices that use simple degree information, the best of which gives us
the Area Under the ROC Curve of 0.875.
