Metadata-Version: 2.1
Name: nx2vos
Version: 0.1
Summary: nx2vos: export networkx graphs to VOSviewer format
Author-email: Raf Guns <raf.guns@uantwerpen.be>
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Development Status :: 4 - Beta
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Requires-Dist: networkx>=3.0
Requires-Dist: pytest >=7.1 ; extra == "dev"
Requires-Dist: pytest-cov ; extra == "dev"
Requires-Dist: tox>=4.4 ; extra == "dev"
Project-URL: Home, https://github.com/rafguns/nx2vos/
Provides-Extra: dev

nx2vos
======

nx2vos is a simple Python library that exports [networkx](https://networkx.org) graphs to the [VOSviewer](https://www.vosviewer.com/) format.

## Installation

Install with [`pip`](https://pip.pypa.io/en/stable/):

```
pip install nx2vos
```


## Usage

### Basic usage

Using nx2vos, you can write a networkx graph to VOSviewer map and network files. From the VOSviewer manual:

- A map file is a text file that contains information about the items in a map. Items are characterized by a number of attributes.
- A network file is a text file that contains information about the links between the items in a map. A network file specifies which pairs of items are connected by a link. It also specifies the strength of each link.

Typically, you want to save both the map and network file:

```python
import networkx as nx
import nx2vos

# Create example network
G = nx.Graph()
G.add_weighted_edges_from([("a", "b", 1), ("b", "c", 2), ("a", "c", 3)])

# Save map and network files to map.txtx and network.txt
nx2vos.write_vos_map(G, "map.txt")
nx2vos.write_vos_network(G, "network.txt")
```

Visualize the result in VOSviewer by clicking `Create...` in the `File` tab on the left. Choose `Create a map based on network data` and point VOSviewer to your map and network file. In the following screens, you can adjust the map by, for instance, excluding certain nodes or edges. After clicking `Finish`, the resulting map is shown.

### Node attributes

You can instruct nx2vos which attribute on the networkx side corresponds to which attribute on the VOSviewer side. Let's look at an example, building on the previous code snippet:

```python
# Calculate Pagerank and add as node attribute
pr = nx.pagerank(G)
for n, val in pr.items():
    G.nodes[n]["pagerank"] = val

# Add example description to each node. Can include HTML formatting.
for n in G:
    G.nodes[n]["text"] = f"This is node <b>{n}</b>."

# Write to file, including attribute data
nx2vos.write_vos_map(
    G, "map2.txt", description_attr="text", weight_attrs=["pagerank"]
)
```

The description will be shown on hover in VOSviewer. The weight can be used in the visualization to display items with higher weight more prominently.

This table shows all supported VOSviewer attributes:

<table>
  <tr>
    <th>VOSviewer attribute</th>
    <th>Specify with...</th>
    <th>Value (if not <code>None</code>)</th>
  </tr>
  <tr>
    <td><code>sublabel</td>
    <td><code>sublabel_attr</td>
    <td>string (attribute name)</td>
  </tr>
  <tr>
    <td><code>description</td>
    <td><code>description_attr</td>
    <td>string (attribute name)</td>
  </tr>
  <tr>
    <td><code>url</td>
    <td><code>url_attr</td>
    <td>string (attribute name)</td>
  </tr>
  <tr>
    <td><code>x</td>
    <td><code>x_attr</code> (use together with <code>y_attr</code>)</td>
    <td>string (attribute name)</td>
  </tr>
  <tr>
    <td><code>y</td>
    <td><code>y_attr</code> (use together with <code>x_attr</code>)</td>
    <td>string (attribute name)</td>
  </tr>
  <tr>
    <td><code>cluster</td>
    <td><code>cluster_attr</td>
    <td>string (attribute name)</td>
  </tr>
  <tr>
    <td><code>weight</td>
    <td><code>weight_attrs</td>
    <td>list of strings (attribute names)</td>
  </tr>
  <tr>
    <td><code>score</td>
    <td><code>score_attrs</td>
    <td>list of strings (attribute names)</td>
  </tr>
</table>
