  Family members' satisfaction with one another is central to creating healthy
and supportive family environments. In this work, we propose and implement a
novel computational technique aimed at exploring the possible relationship
between the topology of a given family tree graph and its members' satisfaction
with one another. Through an extensive empirical evaluation ($N=486$ families),
we show that the proposed technique brings about highly accurate results in
predicting family members' satisfaction with one another based solely on the
family graph's topology. Furthermore, the results indicate that our technique
favorably compares to baseline regression models which rely on established
features associated with family members' satisfaction with one another in prior
literature.
