The asymptotic normality of the fixed number of the maximum likelihood esti-mators(MLEs) in the directed finite weighted network models with an increasing bi-degree sequence has been established recently. In this article,we further derive the central limit theorem for linear combinations of all the MLEs with an increasing dimension when the edges take finite discrete weight. Simulation studies are provided to illustrate the asymptotic results.