In current work we propose some algorithms of long-range connections evaluation. Firstly, we reconstruct an initial graph into the graph of directed intensities. This approach is based on the individual and the group influence with respect to nodes characteristics. Secondly, we apply different models of the indirect influence estimation based on simple paths and random walks. This can help us to estimate node-to-node influence in networks. Finally, we aggregated the results of node-to-node influence into the influence index. The model is applied to the food trade network based on World International Trade Solution database. The results are compared with classical centrality measures that were applied to initial network and to the network of directed intensities.