Taxonomies of networks from community structure.

ABSTRACT: The study of networks has become a substantial interdisciplinary endeavor that encompasses myriad disciplines in the natural, social, and information sciences. Here we introduce a framework for constructing taxonomies of networks based on their structural similarities. These networks can arise from any of numerous sources: They can be empirical or synthetic, they can arise from multiple realizations of a single process (either empirical or synthetic), they can represent entirely different systems in different disciplines, etc. Because mesoscopic properties of networks are hypothesized to be important for network function, we base our comparisons on summaries of network community structures. Although we use a specific method for uncovering network communities, much of the introduced framewo

SUBMITTER: Onnela JP 

PROVIDER: S-EPMC4144942 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature