Link Prediction

We devise FRediECH (a Friend RecommenDer for breakIng Echo CHambers), an echo chamber-aware friend recommendation approach that learns users and echo chamber representations from the shared content and past users’ and communities’ interactions.

We explore a forward-looking approach that is able to infer groups of likely module dependencies that can anticipate architectural smells in a future system version.

In this work, we investigate whether module dependencies can be predicted (before they actually appear).