API Reference#

Complete API documentation for backbone functions across 9 modules. API examples are standardized on nx.les_miserables_graph() for non-bipartite methods and nx.davis_southern_women_graph() for bipartite methods. Each module page includes Sphinx Gallery links showing score-then-filter visualizations for the listed functions. Each function entry includes complexity information (time/space), with an aggregate summary in Complexity Summary.

Module

Functions

Description

Statistical Methods

9

Hypothesis-testing methods plus short alias names

Structural Methods

14

Topology-based methods (threshold, sparsification, linkage, centrality, spanning tree, salience, metric, planarity)

Proximity Methods

12

Neighborhood-similarity edge scoring (Jaccard, Dice, cosine, Adamic-Adar)

Hybrid Methods

1

Combined statistical/structural methods (GLAB)

Bipartite Methods

11

Projection backbones, fixed null models, and high-level wrappers

Unweighted Sparsification

3

Sparsification for unweighted graphs (LSpar, local degree)

Filters

5

Post-hoc filtering utilities and graph-conversion support

Measures

7

Evaluation measures for comparing backbones

Visualization

3

Graph comparison and plotting helpers for backbone differences