  We propose a maximally disassortative (MD) network model which realizes a
maximally negative degree-degree correlation, and study its percolation
transition to discuss the effect of a strong degree-degree correlation on the
percolation critical behaviors. Using the generating function method for
bipartite networks, we analytically derive the percolation threshold and the
order parameter critical exponent, $\beta$. For the MD scale-free networks,
whose degree distribution is $P(k) \sim k^{-\gamma}$, we show that the
exponent, $\beta$, for the MD networks and corresponding uncorrelated networks
are same for $\gamma>3$ but are different for $2<\gamma<3$. A strong
degree-degree correlation significantly affects the percolation critical
behavior in heavy-tailed scale-free networks. Our analytical results for the
critical exponents are numerically confirmed by a finite-size scaling argument.
