Data Analyzer for GHA (Golf for Healthy Aging
Study)
This research proposes a data-driven
analytical framework unlike traditional hypothesis-driven framework
in kinesiology. It can potentially improve efficiency of conducting
experiments and assessing exercise intervention efficacy.
In order to get the accurate
topological profiles, we introduce two types of resistance into the
simple random walk model to develop a new algorithm: Random walk
with resistance (RWS). The resistances ensure the topological
profile for different starting node will be different, and
effectively control the impact from the hub nodes.