density-dependent conductivities of systems well above the percolation threshold were significantly dependent on $R_j/R_s$. A numerical MC study of the conductivity of random rod networks for a wide range of densities and junction-to-rod conductance ratios has been performed [@Zezelj2012]. Three limiting cases with different conductivity exponents were identified, viz., one in the vicinity of the percolation threshold, and two for high densities.

The percolation of rods and the effects of rod alignment on the electrical anisotropy of systems have been examined in several experimental and simulation works [@Whitehouse1991; @Lee1995; @Dani1996; @Du2005; @Berhan2007; @De2010; @White2009; @Ackermann2016]. For systems with aligned conductive fibers, different behaviors of electrical conductivity and different percolation thresholds were observed in the longitudinal and transverse directions [@Whitehouse1991; @Lee1995]. Injection-molded polymer composites filled with carbon-fibers demonstrated electrical anisotropy along different principal directions [@Dani1996]. The observed behavior reflected a preferred axial orientation of fibers within the samples. The effect of carbon nanotube alignment on the percolation conductivity of polymer composites has been studied both experimentally and by means of MC simulations [@Du2005]. It has been demonstrated that percolation conductivity depends on both alignment and concentration. Moreover, the highest conductivity was observed for slightly aligned, rather than isotropic systems. When particles 