Then we combine structural information and textual information by defining the weights w(t i , t j ) of the edges (t i , t j ) as a simple weighted average of w struc (t i , t j ) and w text (t i , t j ).
we define: where λ controls the impacts of text correlation and structure dependency in optimal structure learning.