  We consider a growing network, whose growth algorithm is based on the
preferential attachment typical for scale-free constructions, but where the
long-range bonds are disadvantaged. Thus, the probability to get connected to a
site at distance $d$ is proportional to $d^{-\alpha}$, where $\alpha $ is a
tunable parameter of the model. We show that the properties of the networks
grown with $\alpha <1$ are close to those of the genuine scale-free
construction, while for $\alpha >1$ the structure of the network is vastly
different. Thus, in this regime, the node degree distribution is no more a
power law, and it is well-represented by a stretched exponential. On the other
hand, the small-world property of the growing networks is preserved at all
values of $\alpha $.
