Source code for tethne.networks.papers
Methods for generating networks in which papers are vertices.
from tethne.networks.base import multipartite, coupling, cooccurrence
[docs]def direct_citation(corpus, min_weight=1, **kwargs):
A directed paper-citation network.
Direct-citation graphs are `directed acyclic graphs`__ in which vertices
are papers, and each (directed) edge represents a citation of the target
paper by the source paper. The :func:`.networks.papers.direct_citation`
method generates both a global citation graph, which includes all cited and
citing papers, and an internal citation graph that describes only citations
among papers in the original dataset.
return multipartite(corpus, ['citations'], min_weight=min_weight, **kwargs)
[docs]def bibliographic_coupling(corpus, min_weight=1, **kwargs):
Generate a bibliographic coupling network.
Two papers are **bibliographically coupled** when they both cite the same,
return coupling(corpus, 'citations', min_weight=min_weight, **kwargs)
[docs]def cocitation(corpus, min_weight=1, edge_attrs=['ayjid', 'date'], **kwargs):
Generate a cocitation network.
A **cocitation network** is a network in which vertices are papers, and
edges indicate that two papers were cited by the same third paper.
is a popular desktop application for co-citation analysis, and you can read
about the theory behind it
return cooccurrence(corpus, 'citations', min_weight=min_weight,