Randomizing bipartite networks: the case of the World Trade Web.

ABSTRACT: Within the last fifteen years, network theory has been successfully applied both to natural sciences and to socioeconomic disciplines. In particular, bipartite networks have been recognized to provide a particularly insightful representation of many systems, ranging from mutualistic networks in ecology to trade networks in economy, whence the need of a pattern detection-oriented analysis in order to identify statistically-significant structural properties. Such an analysis rests upon the definition of suitable null models, i.e. upon the choice of the portion of network structure to be preserved while randomizing everything else. However, quite surprisingly, little work has been done so far to define null models for real bipartite networks. The aim of the present work is to fill this gap, e

SUBMITTER: Saracco F 

PROVIDER: S-EPMC4450581 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature