The in-degree and out-degree distributions-of a growing network model are d
etermined. The in-degree is the number of incoming links to a given node (a
nd vice versa for out-degree). The network is built by (i) creation of new
nodes which each immediately attach to a preexisting node, and (ii) creatio
n of new links between preexisting nodes. This process naturally generates
correlated in-degree and out-degree distributions. When the node and link c
reation rates are linear functions of node degree, these distributions exhi
bit distinct power-law forms. By tuning the parameters in these rates to re
asonable values, exponents which agree with those of the web graph are obta
ined.