localgraphclustering 0.4.2

Package for local graph clustering

# Local Graph Clustering

Local Graph Clustering provides

- methods that find local clusters in a given graph without touching the whole graph
- methods that improve a given cluster
- methods for global graph partitioning
- tools to compute [Network Community Profiles](http://www.tandfonline.com/doi/abs/10.1080/15427951.2009.10129177)
- scalable graph analytics on your laptop

The current version is 0.4.2 and it is appropriate for experts and intermediates. Contact information for any questions and feedback is given below.

### Authors

- [Kimon Fountoulakis](http://www1.icsi.berkeley.edu/~kfount/), email: kfount at berkeley dot edu
- [Meng Liu](https://www.cs.purdue.edu/homes/liu1740/), email: liu1740 at purdue dot edu
- [David Gleich](https://www.cs.purdue.edu/homes/dgleich/), email: dgleich at purdue dot edu
- [Michael Mahoney](https://www.stat.berkeley.edu/~mmahoney/), email: mmahoney at stat dot berkeley dot edu

## Demonstration: social networks

<img src="images/JHopkins.png" width="440" height="250"> <img src="images/Hopkins_global.png" width="440" height="250">
<img src="images/Hopkins_local_1.png" width="440" height="250"> <img src="images/Hopkins_local_2.png" width="440" height="250">

## Demonstration: bioinformatics networks

<img src="images/pss.png" width="440" height="250"> <img src="images/pss_local.png" width="440" height="250">
<img src="images/ppi.png" width="440" height="250"> <img src="images/ppi_local.png" width="440" height="250">
<img src="images/blasted.png" width="440" height="250"> <img src="images/blasted_local.png" width="440" height="250">

## Presentation

[](https://www.youtube.com/watch?v=mf9h1-jhyos)


## Installation

```
Clone the repo
```
```
Enter the folder using the termimal
```
```
Type in the terminal `python setup.py install`
```
Note that this package runs only with Python 3.

It can also be installed through pip:

```
pip3 install localgraphclustering
```

## Import from Julia

1. In Julia, add the PyCall package:

`Pkg.add(PyCall)`
2. Update which version of Python that PyCall defaults to:

`ENV["PYTHON"] = (path to python3 executable) `

`Pkg.build("PyCall")`

(You can get the path to the python3 executable by just running "which python3" in the terminal.)
3. Make sure the PyPlot package is added in Julia.