# Table of Contents

# Null models #

Carefully chosen null models are important to bipartite network analysis.

# Projection #

See also http://en.wikipedia.org/wiki/Bipartite_network_projection .

Often, a bipartite network is projected onto one of the node space. There are many ways to do it. One can use simple projection by counting the number of shared neighbors. One can also consider each row or column as a vector and calculate the similarity between the vectors. See Similarity.

- Using networks to measure similarity between genes: association index selection
- Using Random Walks to Generate Associations between Objects

# Community structure #

- http://arxiv.org/abs/1403.2933 - Efficiently inferring community structure in bipartite networks. Stochastic block model for Bipartite network

# Incoming Links #

## Related Articles (Article 0) #

# Suggested Pages #

- 0.142 Link analysis
- 0.138 Innovation
- 0.117 Network datasets
- 0.112 Complex systems
- 0.111 Dynamical system
- 0.087 Hyperbolic geometry
- 0.080 Simplicial complex
- 0.059 Diffusion of innovations
- 0.037 Science
- 0.030 Diffusion of innovation
- More suggestions...