Ontology highlight
ABSTRACT:
SUBMITTER: Alanis-Lobato G
PROVIDER: S-EPMC4957117 | biostudies-literature | 2016 Jul
REPOSITORIES: biostudies-literature
Scientific reports 20160722
The different factors involved in the growth process of complex networks imprint valuable information in their observable topologies. How to exploit this information to accurately predict structural network changes is the subject of active research. A recent model of network growth sustains that the emergence of properties common to most complex systems is the result of certain trade-offs between node birth-time and similarity. This model has a geometric interpretation in hyperbolic space, where ...[more]