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

The network paradigm as a modeling tool in regional economy: the case of interregional commuting in Greece