  Human migration patterns influence the redistribution of population
characteristics over the geography and since such distributions are closely
related to social and economic outcomes, investigating the structure and
dynamics of internal migration plays a crucial role in understanding and
designing policies for such systems. We provide an in-depth investigation into
the structure and dynamics of the internal migration in Turkey from 2008 to
2020. We identify a set of classical migration laws and examine them via
various methods for signed network analysis, ego network analysis,
representation learning, temporal stability analysis, community detection, and
network visualization. The findings show that, in line with the classical
migration laws, most migration links are geographically bounded with several
exceptions involving cities with large economic activity, major migration flows
are countered with migration flows in the opposite direction, there are
well-defined migration routes, and the migration system is generally stable
over the investigated period. Apart from these general results, we also provide
unique and specific insights into Turkey. Overall, the novel toolset we employ
for the first time in the literature allows the investigation of selected
migration laws from a complex networks perspective and sheds light on future
migration research on different geographies.
