https://github.com/mgmacias95/TwitterFriends

Django app that makes a graph dataset with your friends on twitter
https://github.com/mgmacias95/TwitterFriends

django gephi graph graph-dataset social-graph twitter

Last synced: about 2 months ago
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Django app that makes a graph dataset with your friends on twitter

• Host: GitHub
• URL: https://github.com/mgmacias95/TwitterFriends
• Owner: mgmacias95
• License: gpl-3.0
• Created: 2017-01-01T20:15:46.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-05-26T21:13:14.000Z (over 7 years ago)
• Last Synced: 2024-07-27T05:37:40.068Z (about 2 months ago)
• Topics: django, gephi, graph, graph-dataset, social-graph, twitter
• Language: Python
• Size: 12.9 MB
• Stars: 35
• Watchers: 2
• Forks: 9
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# TwitterFriends

![](TwitterFriends.png)

------

Django app that makes a graph dataset with your friends on twitter, on GDF format.

This app saves information about you, all people you follow on Twitter and all people they follow using [Tweepy](https://github.com/tweepy/tweepy). This data is used to make a social graph in which you can study relationships between your friends on Twitter.

For example, my social graph, made on Gephi, is:

![graph](graph.png)

## How to use

Once you've cloned the repository, follow these steps to make your own Twitter friends graph:

1. Create a Twitter App on the [Twitter Apps Site](https://apps.twitter.com/)

2. Save your keys as __environment variables__:

  ```

  $ export TWITTER_CONSUMER_KEY=your_twitter_consumer_key

  $ export TWITTER_CONSUMER_SECRET=your_twitter_consumer_secret

  $ export TWITTER_ACCESS_TOKEN=your_twitter_access_token

  $ export TWITTER_ACCESS_TOKEN_SECRET=your_twitter_access_token_secret

  ```

3. Migrate the Django database. You must be on the same directory as `manage.py` file:

  ```

  $ cd TwitterFriends/

  $ python manage.py migrate

  ```

4. Once you've done the migration, run the script `save_friends.py` to start saving users from Twitter. This step may take a long time, it depends on how big your Twitter Network is.

  ```

  python save_friends.py

  ```

5. Once you've saved all users (friends and friends of your friends) it's time to create relationships between the users.

  ```

  python create_friendships.py

  ```

6. At this step, we have all data we need. Now let's export the data. Run the server:

  ```

  python manage.py runserver

  ```

7. Open `http://127.0.0.1:8000/` in your browser.

8. Download the network on the format you wish.