#Hypergraphs are fun! ![Gitter](https://badges.gitter.im/Join Chat.svg)
Code is written in python 3.
I use tools such as
- clone the library
- create virtualenv
- install requirements
- run setup.py
$ python setup.py install
You can also use automated provisioning which would set up a virtual machine with all dependencies installed and ready to use interactive examples in IPython notebook server.
I write about first two on my blog...
IPython has a powerful notebook which is amazing for sharing code and insights and for interactive development.
##Links to notebooks:
###How can we represent hypergraphs in code? A very good representation is bipartite graph of nodes and hyperedges. Another representation is a graph with hyperedges as nodes connected if hyperedges have common nodes. Is it a good representation for our diffusion problem? Can we use it as a reference model?
###How different are hypergraphs from graphs with cliques? Cliques are sets of nodes in which every node is connected to every other node. They are a bit similar to hypergraphs, but how the nodes are connected is conceptually different from hypergraphs.
###How are hypergraphs different from graphs with cliques in diffusion simulation with markov chain?
###Hypergraph traversal with random walk
I developed two models. One is node based, second is edge based.
You can find an interactive notebook here: