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Large software projects are among most sophisticated human-made systemsconsisting of a network of interdependent parts. Past studies of softwaresystems from the perspective of complex networks have already led to notablediscoveries with different applications. Nevertheless, our comprehension of thestructure of software networks remains to be only partial. We here investigatecorrelations or mixing between linked nodes and show that software networksreveal dichotomous node degree mixing similar to that recently observed inbiological networks. We further show that software networks also revealcharacteristic clustering profiles and mixing. Hence, node mixing in softwarenetworks significantly differs from that in, e.g., the Internet or socialnetworks. We explain the observed mixing through the presence of groups ofnodes with common linking pattern. More precisely, besides densely linkedgroups known as communities, software networks also consist of disconnectedgroups denoted modules, core/periphery structures and other. Moreover, groupscoincide with the intrinsic properties of the underlying software projects,which promotes practical applications in software engineering.

Node mixing and group structure of complex software networks