Scaling behaviours in the growth of networked systems and their geometric origins.

ABSTRACT: Two classes of scaling behaviours, namely the super-linear scaling of links or activities, and the sub-linear scaling of area, diversity, or time elapsed with respect to size have been found to prevail in the growth of complex networked systems. Despite some pioneering modelling approaches proposed for specific systems, whether there exists some general mechanisms that account for the origins of such scaling behaviours in different contexts, especially in socioeconomic systems, remains an open question. We address this problem by introducing a geometric network model without free parameter, finding that both super-linear and sub-linear scaling behaviours can be simultaneously reproduced and that the scaling exponents are exclusively determined by the dimension of the Euclidean space in whi

SUBMITTER: Zhang J 

PROVIDER: S-EPMC4413893 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature