Networks emerge from both shared attributes and competition among their participants. This work introduces a latent-attribute generative model where connections depend on feature overlap and a node’s fitness to transmit attributes, allowing even new nodes to compete for links. The model reproduces key empirical regularities of real systems and provides a parsimonious explanation of growth and inequality in complex networks.