Resolution:
## Figure 1.
The NETGEM model. This figure presents a high-level description of the NETGEM model and the resulting
inference algorithm. Here Λ, Θ are hyper-parameters and β is the strain damping factor. The parameters to be learnt are the functional category
component for each edge (α) and the functional category transition probability matrix (_{e}Q). The inference is done over the hidden variables , where and are the random variables corresponding to the active functional category and the
interaction strength for edge _{h}e at time t respectively. The inferred interaction dynamics is used to compute the edge and functional category change scores s(_{T }e) and respectively.
Jethava |