JorgeMiguelGomes / twitternetwork

The Code necessary to extract tweets from the Twitter API and produce a csv file that can be imported on Gephi to visualize a network

Twitter Network

The Code necessary to extract tweets from the Twitter API and produce a csv file that can be imported on Gephi to visualize a network

What you need

Create a virtual environment

mkdir your_project

cd your_project

virtualenv --python=python3 .

Activate your virtual environment

source /bin/activate

Install the libraries required

pip3 install -r requirements.txt

You are ready to go

Run python3 fetch.py (this might take a while depending on what you are fetching) Run python3 edges.py

Open Gephi

Import CSV produced by edges.py

File -> Import Spreadhsheet...

Run some stats

In the Statistics, in the Context Tab, run Modularity and Statistical Inference

Start building your visualization

In the Overview tab, under Appearance, select Nodes and Partition and click Apply

Choose a Layout and click Run

Notes

When running the layout, your graph might go out of canvas. Don't worry.

You can stop the run, and choose "Contraction" and run that, and it will zoom out.

The same applies if your visualization is too small. Click "Expansion" and it will zoom in

Tips

Experiment. Experiment. Experiment. The more data you have the more complex your visuazliation might look. Use the overview to detect important information (and make screenshots of it)