  The paper analyses international migration flows from the network perspective
by the evaluation of centrality indices. In order to find the most influential
countries in the international migration network classical centrality indices
and new centrality indices are evaluated. New centrality indices consider short
(SRIC) and long-range (LRIC) indirect interactions and the node attribute:
population of the destination country. The model is applied to the annual data
on international migration flows from 1970 to 2013 provided by United Nations
Organization. The analysis is made for one year of each decade and indices
dynamics is described. It is shown that countries with huge migration flows are
outlined by both classical and SRIC, LRIC indices, and SRIC and LRIC indices
point out countries with considerable outflows of migrants to countries highly
involved in international migration and the most interconnected countries.
