  Network Science is an emerging discipline using the network paradigm to model
communication systems as pair-sets of interconnected nodes and their linkages
(edges). This paper applies this paradigm to study an interacting system in
regional economy consisting of daily road transportation flows for labor
purposes, the so-called commuting phenomenon. In particular, the commuting
system in Greece including 39 non-insular prefectures is modeled into a complex
network and it is studied using measures and methods of complex network
analysis and empirical techniques. The study aims to detect the structural
characteristics of the Greek interregional commuting network (GCN) and to
interpret how this network is related to the regional development. The analysis
highlights the effect of the spatial constraints in the structure of the GCN,
it provides insights about the major road transport projects constructed the
last decade, and it outlines a populationcontrolled (gravity) pattern of
commuting, illustrating that high-populated regions attract larger volumes of
the commuting activity, which consequently affects their productivity. Overall,
this paper highlights the effectiveness of complex network analysis in the
modeling of systems of regional economy, such as the systems of spatial
interaction and the transportation networks, and it promotes the use of the
network paradigm to the regional research.
