Ontology highlight
ABSTRACT:
SUBMITTER: Pan L
PROVIDER: S-EPMC4785364 | biostudies-literature | 2016 Mar
REPOSITORIES: biostudies-literature
Scientific reports 20160310
Real network data is often incomplete and noisy, where link prediction algorithms and spurious link identification algorithms can be applied. Thus far, it lacks a general method to transform network organizing mechanisms to link prediction algorithms. Here we use an algorithmic framework where a network's probability is calculated according to a predefined structural Hamiltonian that takes into account the network organizing principles, and a non-observed link is scored by the conditional probab ...[more]